Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 40/100, so the next move is to benchmark the weakest pillars before repeating the format.
broadcast-heavy conference agenda analysis
ICLR - Diffusion On Syntax Trees For Program Synthesis - Workshops - ICLR 2025 Workshop on Human-AI Coevolution
This broadcast-heavy conference in Technology / AI / Startup shows 42 visible agenda rows from iclr.cc and scores 40/100: a moderate design signal with incomplete evidence. The clearest public signals sit in Future-of-Work Fit and Problem Specificity; the main limits are Follow Through and Participation Architecture. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read as design intent... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as a broadcast-heavy conference, with the strongest visible signal in future-of-work fit and problem specificity and the biggest open question around follow through and participation architecture. The practical test is whether the published agenda connects the room to post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the moderate design signal band. The strongest visible pillars are Future-of-Work Fit, Problem Specificity, and Learning Transfer; the thinnest visible pillars are Follow Through, Network Design, and Participation Architecture. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The extracted agenda preview includes 80 visible rows. The most common formats are Unknown, Presentation, and Workshop; the most common inferred purposes are Unknown, Knowledge Transfer, and Participant Work.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?30
Participation Architecture - 30/100. Participant work, contribution, interaction, and alternatives to passive broadcast.Missing: Turn passive airtime into participant work: practice, sensemaking, decisions, critique, or artifact creation.
Follow Through?5
Follow Through - 5/100. Owners, dates, commitments, progress checks, and accountability after the room.Missing: Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
Problem Specificity?56
Problem Specificity - 56/100. A clear costly problem, objective, decision, or performance target.
Personalization?35
Personalization - 35/100. Role, path, goal, preparation, or connection tailoring for participants.
Network Design?30
Network Design - 30/100. Structured weak ties, bridge-building, mixers, and relationship persistence.Missing: Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Learning Transfer?47
Learning Transfer - 47/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?45
Evidence Maturity - 45/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?63
Future-of-Work Fit - 63/100. Value against time, hybrid reality, accessibility, AI, and meeting load.
Fix the gaps
Field-tested exercises matched to this agenda's weakest pillars, from the exercise library.
Follow Through (5/100)
Exercises that strengthen it: Mental Toughness Workshop • WorkshopBank · 15% Solutions • WorkshopBank · Network Patches
Participation Architecture (30/100)
Exercises that strengthen it: Make A World · Awestruck 3 Minutes · Spectrum Mapping
Network Design (30/100)
Exercises that strengthen it: Fun Trust-Building Group Game for Team Connection - Izzat... · Exciting Group Trust Activity for Building Confidence... · PFP: September 2005
Agenda Preview
The actual agenda we captured. Every block is classified by format and purpose. Open any block to see how we read it; the colored edge shows whether it is participant work, broadcast, logistics, or a showcase.
Room vs wrapper
9 percent of the 80 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all eventBlog Track PostersPoster sessionShowcase+
Format · ShowcasePoster sessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisOutcome inferred from formatInferred from format
all eventWorkshopsWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventWorkshopWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventICLR 2025 Workshop on Human-AI CoevolutionWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
5:45 PMIntroductory Notes with Ahmad Rushdi Ahmad Rushdi ⋅ Dylan M. Asmar VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
6:00 PMFrom Measurement to Meaning: A Validity-Centered Approach to AI Evaluation Sanmi Koyejo VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
6:00 PMAI Diversity NOT Alignment for Sustained Innovation in Human-AI Evolution James Evans VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:00 PMCoffee BreakBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
7:15 PMScalably Solving Assistance Games Cassidy Laidlaw ⋅ Eli Bronstein ⋅ Timothy Guo ⋅ Dylan Feng ⋅ Lukas Berglund ⋅ Justin Svegliato ⋅ Stuart Russell ⋅ Anca Dragan Video LinkWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
7:30 PMLearning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs Abed K. Musaffar ⋅ Anand Gokhale ⋅ Sirui Zeng ⋅ Rasta Tadayontahmasebi ⋅ Xifeng Yan ⋅ Ambuj K Singh ⋅ Francesco Bullo Video LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMOpportunities and Challenges of Frontier Data Governance With Synthetic Data Madhavendra Thakur ⋅ Jason Hausenloy LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMR-LLAVA: IMPROVING MED-VQA UNDERSTANDING THROUGH VISUAL REGION OF INTEREST Xupeng Chen ⋅ Zhixin Lai ⋅ Kangrui Ruan ⋅ Shichu Chen ⋅ Jiaxiang Liu ⋅ Zuozhu Liu LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMToward Trustworthy Neural Program Synthesis Wen-Ding Li ⋅ Darren Key ⋅ Kevin Ellis LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMIS CONFIDENCE ALL YOU NEED? EXPLORING HUMAN-AI JOINT DECISION-MAKING IN SPATIOTEMPORAL ROBOTIC TASKS An Nguyen ⋅ Raunak Pushpak Bhattacharyya ⋅ Clara Colombatto ⋅ Stephen Fleming ⋅ Ingmar Posner ⋅ Nick Hawes LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisSession topic references decisions or metrics; event-level follow-through is not shownRead from source
7:45 PMPATTERNS AND MECHANISMS OF CONTRASTIVE ACTIVATION ENGINEERING Yixiong Hao ⋅ Ayush Panda ⋅ Stepan Shabalin ⋅ Sheikh Abdur Raheem Ali LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMHow Deeply Do LLMs Internalize Human Citation Practices? A Graph-Structural and Embedding-Based Evaluation Melika Mobini ⋅ Vincent Holst ⋅ Floriano Tori ⋅ Andres Algaba ⋅ Vincent Ginis LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMTDRI: Two-Phase Dialogue Refinement and Co-Adaptation for Interactive Image Generation Yangfan He ⋅ Yuheng Feng ⋅ Jianhui Wang ⋅ Kun Li ⋅ Yijin Wang ⋅ Haoyuan Li ⋅ Sida Li ⋅ Yinghui XIA ⋅ TIANYU SHI ⋅ RainM LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMModeling Link Recommendations as a Network Growth Mechanism and their Impact on Social Contagion Björn Komander ⋅ Jesus Cerquides ⋅ Jeffrey Chan ⋅ Azadeh Alavi LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisExplicit action or follow-through languageRead from source
7:45 PMRethinking Anti-Misinformation AI Vidya Sujaya ⋅ Kellin Pelrine ⋅ Andreea Musulan ⋅ Reihaneh Rabbany LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
7:45 PMSafety Devolution in AI Agents Cheng Yu ⋅ Orestis Papakyriakopoulos LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
8:15 PMHAIC, Robotics, and Alignment Lindsay Sanneman ⋅ David Hsu ⋅ Fan Shi ⋅ Kokil Jaidka VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:30 PMA Retrospective & Forward-Looking View of AI Safety & Security Zhuo Li VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:00 PMAI Homogenization and Human Variation AJ Alvero VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:30 PMThe More, The Stronger? Investigating How Multi-Agent AI Shapes Human Opinions Tianqi Song ⋅ Yugin Tan ⋅ Zicheng Zhu ⋅ Maojia Song ⋅ Feng Yibin ⋅ Yi-Chieh Lee Video LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:45 PMPerformative Prediction on Games and Mechanism Design António Góis ⋅ Mehrnaz Mofakhami ⋅ Fernando Santos ⋅ Gauthier Gidel ⋅ Simon Lacoste-Julien Video LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:15 AMIndustry Panel Sanmi Koyejo ⋅ Winnie Street ⋅ Cong Shen ⋅ Xuying Li VideoPanelDiscussion+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:00 AMOpen Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen CasperPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:00 AMUsing Sociolinguistics to Address AI Fairness VideoPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:30 AMClosing Remarks Amelia Hardy ⋅ Dylan M. Asmar VideoClosingOrientation+
Format · BroadcastClosingFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMDissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Yuefan Cao ⋅ Xiaoyu Li ⋅ Yingyu Liang ⋅ Zhizhou Sha ⋅ Zhenmei Shi ⋅ Zhao Song ⋅ Jiahao Zhang LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMSocial Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies ⋅ Elisa Nguyen ⋅ Michael Simeone ⋅ Erik Johnston ⋅ Martin Gubri LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMAI Companions Are Not The Solution To Loneliness: Design Choices And Their Drawbacks Jonas Raedler ⋅ Siddharth Swaroop ⋅ Weiwei Pan LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMCracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback Niklas Ippisch ⋅ Anna-Carolina Haensch ⋅ Markus Herklotz ⋅ Jan Simson ⋅ Jacob Beck ⋅ Malte Schierholz LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMPreferential Multi-Objective Bayesian Optimization for Drug Discovery Tai Dang ⋅ Long-Hung Pham ⋅ Sang Truong ⋅ Ari Glenn ⋅ Wendy Nguyen ⋅ Edward Pham ⋅ Jeffrey Glenn ⋅ Sanmi Koyejo ⋅ Thang Luong LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMPREFERENCE OPTIMIZATION FOR CONCEPT BOTTLENECK MODELS Emiliano Penaloza ⋅ Tianyue Zhang ⋅ Laurent Charlin ⋅ Mateo Espinosa Zarlenga LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMHow Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Antonio-Gabriel Chacón Menke ⋅ Phan Tan LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMSYNC (Synergistic Yield of Networked Co-evolution): Advancing Human - AI Teamwork for Human Well-being Lixiao Huang LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
1:45 AMA Simple Model for AI-Induced De-skilling Mriganka Chowdhury ⋅ Tiffany Ding ⋅ Ezinne Nwankwo LinkPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventMain ConferenceUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventBlog Track PostersPoster SessionShowcase+
Format · ShowcasePoster SessionPresenters display work; attendees browse and ask questions. Some interaction, not structured work.
Evidence basisMediumRead from source
all eventWorkshopsWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventCommunityUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
all eventWorkshopWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventICLR 2025 Workshop on Human-AI CoevolutionWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThis workshop aims to build a multidisciplinary research community around the emerging field of human-AI coevolution (HAIC) to understand the feedback loops that emerge from continuous and long-term human-AI interaction. As AI systems have become more prevalent and have been present in society over longer periods, scholars from diverse fields and methodologies have come to focus on HAIC and its importance for system architecture, human feedback, regulation, and other domains. Through this workshop we hope to lay a collaborative foundation for this research agenda. To achieve this we will organize expert talks from academia and industry, dynamic panel discussions, interactive breakout sessions, and networking opportunities, drawing on our diverse experience organizing related workshops at leading conferences in ML, NLP, HCI, and related fields.PanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
all eventTimezone: America/LosAngelesUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisLowRead from source
5:45 PMIntroductory Notes with Ahmad Rushdi Ahmad Rushdi ⋅ Dylan M. Asmar VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
6:00 PMFrom Measurement to Meaning: A Validity-Centered Approach to AI Evaluation Sanmi Koyejo VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
6:00 PMAI Diversity NOT Alignment for Sustained Innovation in Human-AI Evolution James Evans VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:00 PMCoffee BreakBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
7:15 PMScalably Solving Assistance Games Cassidy Laidlaw ⋅ Eli Bronstein ⋅ Timothy Guo ⋅ Dylan Feng ⋅ Lukas Berglund ⋅ Justin Svegliato ⋅ Stuart Russell ⋅ Anca Dragan Video LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:30 PMLearning to Lie: Reinforcement Learning Attacks Damage Human-AI Teams and Teams of LLMs Abed K. Musaffar ⋅ Anand Gokhale ⋅ Sirui Zeng ⋅ Rasta Tadayontahmasebi ⋅ Xifeng Yan ⋅ Ambuj K Singh ⋅ Francesco Bullo Video LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMOpportunities and Challenges of Frontier Data Governance With Synthetic Data Madhavendra Thakur ⋅ Jason Hausenloy LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMR-LLAVA: IMPROVING MED-VQA UNDERSTANDING THROUGH VISUAL REGION OF INTEREST Xupeng Chen ⋅ Zhixin Lai ⋅ Kangrui Ruan ⋅ Shichu Chen ⋅ Jiaxiang Liu ⋅ Zuozhu Liu LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMToward Trustworthy Neural Program Synthesis Wen-Ding Li ⋅ Darren Key ⋅ Kevin Ellis LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMIS CONFIDENCE ALL YOU NEED? EXPLORING HUMAN-AI JOINT DECISION-MAKING IN SPATIOTEMPORAL ROBOTIC TASKS An Nguyen ⋅ Raunak Pushpak Bhattacharyya ⋅ Clara Colombatto ⋅ Stephen Fleming ⋅ Ingmar Posner ⋅ Nick Hawes LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMPATTERNS AND MECHANISMS OF CONTRASTIVE ACTIVATION ENGINEERING Yixiong Hao ⋅ Ayush Panda ⋅ Stepan Shabalin ⋅ Sheikh Abdur Raheem Ali LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMHow Deeply Do LLMs Internalize Human Citation Practices? A Graph-Structural and Embedding-Based Evaluation Melika Mobini ⋅ Vincent Holst ⋅ Floriano Tori ⋅ Andres Algaba ⋅ Vincent Ginis LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMTDRI: Two-Phase Dialogue Refinement and Co-Adaptation for Interactive Image Generation Yangfan He ⋅ Yuheng Feng ⋅ Jianhui Wang ⋅ Kun Li ⋅ Yijin Wang ⋅ Haoyuan Li ⋅ Sida Li ⋅ Yinghui XIA ⋅ TIANYU SHI ⋅ RainM LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMModeling Link Recommendations as a Network Growth Mechanism and their Impact on Social Contagion Björn Komander ⋅ Jesus Cerquides ⋅ Jeffrey Chan ⋅ Azadeh Alavi LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMRethinking Anti-Misinformation AI Vidya Sujaya ⋅ Kellin Pelrine ⋅ Andreea Musulan ⋅ Reihaneh Rabbany LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
7:45 PMSafety Devolution in AI Agents Cheng Yu ⋅ Orestis Papakyriakopoulos LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
8:15 PMHAIC, Robotics, and Alignment Lindsay Sanneman ⋅ David Hsu ⋅ Fan Shi ⋅ Kokil Jaidka VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
10:30 PMA Retrospective & Forward-Looking View of AI Safety & Security Zhuo Li VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:00 PMAI Homogenization and Human Variation AJ Alvero VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:30 PMThe More, The Stronger? Investigating How Multi-Agent AI Shapes Human Opinions Tianqi Song ⋅ Yugin Tan ⋅ Zicheng Zhu ⋅ Maojia Song ⋅ Feng Yibin ⋅ Yi-Chieh Lee Video LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:45 PMPerformative Prediction on Games and Mechanism Design António Góis ⋅ Mehrnaz Mofakhami ⋅ Fernando Santos ⋅ Gauthier Gidel ⋅ Simon Lacoste-Julien Video LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
12:15 AMIndustry Panel Sanmi Koyejo ⋅ Winnie Street ⋅ Cong Shen ⋅ Xuying Li VideoPanelDeliberation+
Format · BroadcastPanelExperts discuss while the audience watches. Surfaces perspective but rarely creates participant work.
Evidence basisMediumRead from source
1:00 AMOpen Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback Stephen CasperUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:00 AMUsing Sociolinguistics to Address AI Fairness VideoUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:30 AMClosing Remarks Amelia Hardy ⋅ Dylan M. Asmar VideoClosing RemarksOrientation+
Format · BroadcastClosing RemarksClosing framing from the stage. Wraps the event, not participatory.
Evidence basisMediumRead from source
1:45 AMDissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies Yuefan Cao ⋅ Xiaoyu Li ⋅ Yingyu Liang ⋅ Zhizhou Sha ⋅ Zhenmei Shi ⋅ Zhao Song ⋅ Jiahao Zhang LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMSocial Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies ⋅ Elisa Nguyen ⋅ Michael Simeone ⋅ Erik Johnston ⋅ Martin Gubri LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMAI Companions Are Not The Solution To Loneliness: Design Choices And Their Drawbacks Jonas Raedler ⋅ Siddharth Swaroop ⋅ Weiwei Pan LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMCracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback Niklas Ippisch ⋅ Anna-Carolina Haensch ⋅ Markus Herklotz ⋅ Jan Simson ⋅ Jacob Beck ⋅ Malte Schierholz LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMPreferential Multi-Objective Bayesian Optimization for Drug Discovery Tai Dang ⋅ Long-Hung Pham ⋅ Sang Truong ⋅ Ari Glenn ⋅ Wendy Nguyen ⋅ Edward Pham ⋅ Jeffrey Glenn ⋅ Sanmi Koyejo ⋅ Thang Luong LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMPREFERENCE OPTIMIZATION FOR CONCEPT BOTTLENECK MODELS Emiliano Penaloza ⋅ Tianyue Zhang ⋅ Laurent Charlin ⋅ Mateo Espinosa Zarlenga LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMHow Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers Antonio-Gabriel Chacón Menke ⋅ Phan Tan LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMSYNC (Synergistic Yield of Networked Co-evolution): Advancing Human - AI Teamwork for Human Well-being Lixiao Huang LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
1:45 AMA Simple Model for AI-Induced De-skilling Mriganka Chowdhury ⋅ Tiffany Ding ⋅ Ezinne Nwankwo LinkUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 39/100 and verified 39/100, then capped for agenda is mostly passive without visible outcome mechanics.
Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as a broadcast-heavy conference, with the strongest visible signal in future-of-work fit and problem specificity and the biggest open question around follow through and participation architecture. The practical test is whether the published agenda connects the room to post-event continuation and evidence.
Strongest signals: Future-of-Work Fit, Problem Specificity, and Learning Transfer. Weakest signals: Follow Through, Network Design, and Participation Architecture.
How This Agenda Could Improve +
- Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
- Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
- Turn passive airtime into participant work: practice, sensemaking, decisions, critique, or artifact creation.
Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.
Role-Specific Reading +
Sponsor lens
Look beyond exposure. Strong sponsor value would show qualified interaction, problem work, buyer learning, customer evidence, or follow-up. The practical sponsor move is to look for structured introductions, buyer-seller fit, and relationship persistence.
Designer lens
The agenda is useful as a pattern sample from iclr.cc. Redesign attention should go first to the lowest-scoring pillars; in practice, turn the thinnest agenda blocks into participant work.
Executive lens
Treat the visible agenda as an operating plan. The executive move is to require owners, dates, and evidence before treating the event as strategic. If owners, proof, and follow-through are not visible, the public record does not yet prove strategic movement.
Aggregator lens
Treat the source URL as evidence, not decoration. The data-product move is to label the source boundary clearly before ranking the record before ranking or syndicating the record.
What GES Means Here +
The Gathering Effectiveness Score is a strict 0-100 public-evidence reading of the agenda across eight pillars. It rewards visible participant work, follow-through, transfer, network design, and proof mechanisms more than polish, speaker fame, attendance, or satisfaction.
Visible mechanisms: Participant work, Feedback, Network design, Learning transfer.
Evidence boundary: Scores reflect visible agenda/source evidence and should not be read as proof of causal event impact.
Limitations, Score Caps, and Review Flags +
Limitations
- No visible follow-up, progress monitoring, or longitudinal tracking.
- Passive stage formats dominate the visible agenda.
- No baseline measurement is visible.
Score caps
- 34: Agenda is mostly passive without visible outcome mechanics.
Review flags
- Fourth-loop score cap: Agenda is mostly passive without visible outcome mechanics.
- No source-backed follow-up, validation, baseline, tracking, or impact evidence.
- No tracking, validation, feedback, or impact measurement found in the visible source text.
Is this proof the event worked? +
No. This is a strict public-evidence reading of the agenda. Proof would require baseline, comparison, follow-up, attribution, and impact evidence beyond the listing.
What should a reader inspect first? +
Start with the source URL, then compare the eight pillar scores against the agenda rows. The biggest opportunities usually sit in follow-through, evidence maturity, and participant work.
Why publish weak records? +
Weak records are part of the map. They show where public agendas still describe sessions and speakers more often than outcomes, commitments, transfer, or proof.
How should I use the rows? +
Read the agenda rows as the visible design trace: formats, purposes, and evidence labels show what the public source made inspectable, not everything that happened in the room. This is a source-grounded interpretation of the public agenda record, not a copy of the source, and not an endorsement of the event.
Embed the verified badge +
This record is in the hand-verified gold set. Copy the snippet below to embed the verified badge on your own site.
<a href="https://unitedwetransform.com/events/evt_2025_iclr_diffusion_on_syntax_trees_for_program_synthesis_workshops_iclr_2025_wo"><img src="https://unitedwetransform.com/badge/ges-verified.svg" alt="GES verified by United We Transform" height="40"></a>Where To Go Next
Compare this agenda against other Technology / AI / Startup events scored on the same eight pillars.