Workshop
How Far Are We From AGI
Jiaxuan You · Ge Liu · Yunzhu Li · Song Han · Dawn Song
Halle A 7
Fri 10 May, 11:30 p.m. PDT
The dream of Artificial General Intelligence (AGI) has been the north star of AI research since its inception. While large language models like GPT-4 and LLama-2 signal promising advances, the road to true AGI remains complex, mixed with both promise and challenges. Our workshop offers a collaborative platform to discuss AGI's potential, its historical roots, and pressing challenges, blending insights from both academia and industry. Adopting a hybrid format, we invite global researchers to join, share, and shape the discourse on our journey towards AGI.We invite submissions on a range of topics including, but not limited to:- Frontiers of AGI research- Classic AGI Attempts as Inspiration- Interdisciplinary Insights for AGI- Fundamental Limitations of LLMs- Practical Limitations of LLMs- Safety, Ethics, and Regulation in AGI Development- AGI's Economic and Societal Impacts
Chat is not available.
Timezone: America/Los_Angeles
Schedule
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Fri 11:30 p.m. - 11:45 p.m.
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Opening remarks: Jiaxuan You
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Talk by organizer
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SlidesLive Video |
Jiaxuan You 🔗 |
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Fri 11:45 p.m. - 12:45 a.m.
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Oral presentations from submissions
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Oral presentation
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SlidesLive Video |
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Sat 12:45 a.m. - 1:00 a.m.
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Invited talk: UK Government AI Safety Institute
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Invited talk
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SlidesLive Video |
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Sat 1:00 a.m. - 1:30 a.m.
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Keynote talk: Oriol Vinyals
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Keynote talk
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SlidesLive Video |
Oriol Vinyals 🔗 |
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Sat 1:30 a.m. - 1:45 a.m.
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Coffee break and social
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Sat 1:45 a.m. - 2:30 a.m.
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Keynote talk: Yejin Choi
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Keynote talk
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SlidesLive Video |
Yejin Choi 🔗 |
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Sat 2:30 a.m. - 3:00 a.m.
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Keynote talk: Andrew Gordon Wilson
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Keynote talk
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SlidesLive Video |
Andrew G Wilson 🔗 |
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Sat 3:00 a.m. - 3:30 a.m.
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Keynote talk: Song Han
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Keynote talk
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SlidesLive Video |
Song Han 🔗 |
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Sat 3:30 a.m. - 4:30 a.m.
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Lunch break and social
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Sat 4:30 a.m. - 5:30 a.m.
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Keynote talk: Yoshua Bengio
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Keynote talk
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SlidesLive Video |
Yoshua Bengio 🔗 |
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Sat 5:35 a.m. - 7:00 a.m.
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Panel discussions: How far are we from AGI?
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Panel discussions
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SlidesLive Video |
Yoshua Bengio · Yejin Choi · Andrew G Wilson · Song Han · Dawn Song · Jiaxuan You · Ge Liu 🔗 |
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Sat 7:00 a.m. - 8:00 a.m.
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Poster session and social
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Poster session
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The Pitfalls of Next-Token Prediction ( Oral ) > link | Gregor Bachmann · Vaishnavh Nagarajan 🔗 |
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Neural Retrievers are Biased Towards LLM-Generated Content ( Poster ) > link | Sunhao Dai · Yuqi Zhou · Liang Pang · Weihao Liu · Xiaolin Hu · Yong Liu · Xiao Zhang · Gang Wang · Jun Xu 🔗 |
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Thought-Retriever: Don’t Just Retrieve Raw Data, Retrieve Thoughts ( Poster ) > link | Tao Feng · Pengrui Han · Guanyu Lin · Ge Liu · Jiaxuan You 🔗 |
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Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation ( Oral ) > link | Xinyi Wang · Alfonso Amayuelas · Kexun Zhang · Liangming Pan · Wenhu Chen · William Wang 🔗 |
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Rethinking harmless refusals when fine-tuning foundation models ( Poster ) > link | Florin Pop · Judd Rosenblatt · Diogo de Lucena · Michael Vaiana 🔗 |
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Towards Human-like Machine Vision: Representing Part-Whole Relationship with hierarchically correlated neuronal activation in neural networks ( Poster ) > link | Hao Zheng · Hui Lin · Rong Zhao · Huanyu Qu 🔗 |
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CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text ( Poster ) > link | Zhenru Lin · Yiqun Yao · Yang Yuan 🔗 |
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An Embodied Generalist Agent in 3D World ( Poster ) > link | Jiangyong Huang · Silong Yong · Xiaojian Ma · Xiongkun Linghu · Puhao Li · Yan Wang · Qing Li · Song-Chun Zhu · Baoxiong Jia · Siyuan Huang 🔗 |
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Do LLM Agents Have Regret? A Case Study in Online Learning and Games ( Oral ) > link | Chanwoo Park · Xiangyu Liu · Asuman Ozdaglar · Kaiqing Zhang 🔗 |
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GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It ( Poster ) > link | Ana Jojic · Zhen Wang · Nebojsa Jojic 🔗 |
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Can Large Language Model Agents Simulate Human Trust Behaviors? ( Poster ) > link | Chengxing Xie · Canyu Chen · Feiran Jia · Yeol Ye · Kai Shu · Adel Bibi · Ziniu Hu · Philip Torr · Bernard Ghanem · Guohao Li 🔗 |
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OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning ( Poster ) > link | Rui Ye · WenHao Wang · Jingyi Chai · Dihan Li · Zexi Li · Yinda Xu · Yaxin Du · Yanfeng Wang · Siheng Chen 🔗 |
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Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games ( Poster ) > link | Yizhe Zhang · Jiarui Lu · Navdeep Jaitly 🔗 |
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LEAGUE++: EMPOWERING CONTINUAL ROBOT LEARNING THROUGH GUIDED SKILL ACQUISITION WITH LARGE LANGUAGE MODELS ( Poster ) > link | Zhaoyi Li · Kelin Yu · Shuo Cheng · Danfei Xu 🔗 |
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CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay ( Poster ) > link | Natasha Butt · Blazej Manczak · Auke Wiggers · Corrado Rainone · David Zhang · Michaël Defferrard · Taco Cohen 🔗 |
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AI Alignment with Changing and Influenceable Reward Functions ( Oral ) > link | Micah Carroll · Davis Foote · Anand Siththaranjan · Stuart Russell · Anca Dragan 🔗 |
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Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models ( Poster ) > link | Qiming Bao · Juho Leinonen · Alex Peng · Wanjun Zhong · Gaël Gendron · Timothy Pistotti · Alice Huang · Paul Denny · Michael Witbrock · Jiamou Liu 🔗 |
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RET-LLM: Towards a General Read-Write Memory for Large Language Models ( Poster ) > link | Seyed MohammadAli Modarressi · Ayyoob Imani · Mohsen Fayyaz · Hinrich Schuetze 🔗 |
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Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models ( Poster ) > link | Yile Wang · Sijie Cheng · Zixin Sun · Peng Li · Yang Liu 🔗 |
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SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code ( Oral ) > link | Ziniu Hu 🔗 |
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Incentivizing Inclusive Data Contributions in Personalized Federated Learning ( Poster ) > link | Enpei Zhang · Jingyi Chai · Rui Ye · Yanfeng Wang · Siheng Chen 🔗 |
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How to benchmark AGI: the Adversarial Game ( Poster ) > link | Emmanouil Seferis 🔗 |
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RD2Bench: Toward Data-Centric Automatic R&D ( Poster ) > link | Haotian Chen · Xinjie Shen · Zeqi Ye · Xiao Yang · Xu Yang · Weiqing Liu · Jiang Bian 🔗 |
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Large Language Models Are Not Strong Abstract Reasoners Yet ( Poster ) > link | Gaël Gendron · Qiming Bao · Michael Witbrock · Gillian Dobbie 🔗 |
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Collaborative LLM-Agents for Editable Driving Scene Simulation ( Poster ) > link | Yuxi Wei · Zi Wang · Yifan Lu · Chenxin Xu · Changxing Liu · Hao Zhao · Siheng Chen · Yanfeng Wang 🔗 |
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DEFT: FLASH TREE-ATTENTION WITH IO-AWARENESS FOR EFFICIENT TREE-SEARCH-BASED LLM INFERENCE ( Oral ) > link | Jinwei Yao · Kexun Zhang · Kaiqi Chen · Jiaxuan You · Zeke Wang · Binhang Yuan · Tao Lin 🔗 |
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FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning ( Poster ) > link | Wenzhe Li · Zihan Ding · Seth Karten · Chi Jin 🔗 |
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On the Shape of Brainscores for Large Language Models (LLMs) ( Oral ) > link | Jingkai Li 🔗 |
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MARS: A Benchmark for Multi-LLM Algorithmic Routing System ( Poster ) > link | Qitian Hu · Jacob Bieker · Xiuyu Li · Nan Jiang · Benjamin Keigwin · Gaurav Ranganath · Kurt Keutzer · Shriyash Upadhyay 🔗 |
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A Language Model's Guide Through Latent Space ( Oral ) > link | Dimitri von Rütte · Sotiris Anagnostidis · Gregor Bachmann · Thomas Hofmann 🔗 |
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How Far Are We from Intelligent Visual Deductive Reasoning? ( Poster ) > link | Yizhe Zhang · He Bai · Ruixiang Zhang · Jiatao Gu · Shuangfei Zhai · Joshua Susskind · Navdeep Jaitly 🔗 |
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Generative Representational Instruction Tuning ( Oral ) > link | Niklas Muennighoff · Hongjin SU · Liang Wang · Nan Yang · Furu Wei · Tao Yu · Amanpreet Singh · Douwe Kiela 🔗 |
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Efficient Causal Graph Discovery Using Large Language Models ( Poster ) > link | Thomas Jiralerspong · Xiaoyin Chen · Yash More · Vedant Shah · Yoshua Bengio 🔗 |
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Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation ( Oral ) > link | Xianghe Pang · Shuo Tang · Rui Ye · Yuxin Xiong · Bolun Zhang · Yanfeng Wang · Siheng Chen 🔗 |