ICLR 2024 Past Other

ICLR 2024 Workshop: How Far Are We From AGI

ICLR 2024 AGI Workshop

Submission deadline
Feb 12, 2024, 23:59 UTC
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Submission portal
OpenReview
Notes
Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).

Accepted papers (34)

Fetched from OpenReview (v2) on 2026-06-10.

  1. A Language Model's Guide Through Latent Space

    Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann · PDF
  2. AI Alignment with Changing and Influenceable Reward Functions

    Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan · PDF
  3. An Embodied Generalist Agent in 3D World

    Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang · PDF
  4. Can Large Language Model Agents Simulate Human Trust Behaviors?

    Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li · PDF
  5. CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text

    Zhenru Lin, Yiqun Yao, Yang Yuan · PDF
  6. CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay

    Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen · PDF
  7. Collaborative LLM-Agents for Editable Driving Scene Simulation

    Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang · PDF
  8. DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference

    Jinwei Yao, Kexun Zhang, Kaiqi Chen, Jiaxuan You, Zeke Wang, Binhang Yuan, Tao Lin · PDF
  9. Do LLM Agents Have Regret? A Case Study in Online Learning and Games

    Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang · PDF
  10. Efficient Causal Graph Discovery Using Large Language Models

    Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio · PDF
  11. Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models

    Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu · PDF
  12. FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning

    Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin · PDF
  13. Generative Representational Instruction Tuning

    Niklas Muennighoff, Hongjin SU, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela · PDF
  14. GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It

    Ana Jojic, Zhen Wang, Nebojsa Jojic · PDF
  15. How Far Are We from Intelligent Visual Deductive Reasoning?

    Yizhe Zhang, He Bai, Ruixiang ZHANG, Jiatao Gu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly · PDF
  16. How to benchmark AGI: the Adversarial Game

    Emmanouil Seferis · PDF
  17. Incentivizing Inclusive Data Contributions in Personalized Federated Learning

    Enpei Zhang, Jingyi Chai, Rui Ye, Yanfeng Wang, Siheng Chen · PDF
  18. Large Language Models Are Not Strong Abstract Reasoners Yet

    Gael Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie · PDF
  19. LEAGUE++: EMPOWERING CONTINUAL ROBOT LEARNING THROUGH GUIDED SKILL ACQUISITION WITH LARGE LANGUAGE MODELS

    Zhaoyi Li, Kelin Yu, Shuo Cheng, Danfei Xu · PDF
  20. MARS: A Benchmark for Multi-LLM Algorithmic Routing System

    Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay · PDF
  21. Neural Retrievers are Biased Towards LLM-Generated Content

    Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu · PDF
  22. On the Shape of Brainscores for Large Language Models (LLMs)

    Jingkai Li · PDF
  23. OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning

    Rui Ye, WenHao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen · PDF
  24. Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games

    Yizhe Zhang, Jiarui Lu, Navdeep Jaitly · PDF
  25. RD2Bench: Toward Data-Centric Automatic R&D

    Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian · PDF
  26. RET-LLM: Towards a General Read-Write Memory for Large Language Models

    Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schuetze · PDF
  27. Rethinking harmless refusals when fine-tuning foundation models

    Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena, Michael Vaiana · PDF
  28. SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code

    Ziniu Hu · PDF
  29. Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

    Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen · PDF
  30. Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models

    Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu · PDF
  31. The Pitfalls of Next-Token Prediction

    Gregor Bachmann, Vaishnavh Nagarajan · PDF
  32. Thought-Retriever: Don’t Just Retrieve Raw Data, Retrieve Thoughts

    Tao Feng, Pengrui Han, Guanyu Lin, Ge Liu, Jiaxuan You · PDF
  33. Towards Human-like Machine Vision: Representing Part-Whole Relationship with hierarchically correlated neuronal activation in neural networks

    Hao Zheng, Hui Lin, Rong Zhao, Huanyu Qu · PDF
  34. Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation

    Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang · PDF