ICLR 2024 Workshop AGI Submissions

Thought-Retriever: Don’t Just Retrieve Raw Data, Retrieve Thoughts
Tao Feng, Pengrui Han, Guanyu Lin, Ge Liu, Jiaxuan You
- Published: 05 Mar 2024, Last Modified: 01 Oct 2025
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Oral
- Readers: Everyone
LEAGUE++: EMPOWERING CONTINUAL ROBOT LEARNING THROUGH GUIDED SKILL ACQUISITION WITH LARGE LANGUAGE MODELS
Zhaoyi Li, Kelin Yu, Shuo Cheng, Danfei Xu
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin SU, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Oral
- Readers: Everyone
Incentivizing Inclusive Data Contributions in Personalized Federated Learning
Enpei Zhang, Jingyi Chai, Rui Ye, Yanfeng Wang, Siheng Chen
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It
ICLR 2024 Workshop AGI Submission36 Authors
- 12 Feb 2024 (modified: 12 May 2024)
- Submitted to ICLR 2024 AGI Workshop
- Readers: Everyone
Revealing the Inevitable Infection of Semantic Similarities in Understanding Emotional Dialogues in Foundation Models
ICLR 2024 Workshop AGI Submission35 Authors
- 12 Feb 2024 (modified: 12 May 2024)
- Submitted to ICLR 2024 AGI Workshop
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It
ICLR 2024 Workshop AGI Submission32 Authors
- 12 Feb 2024 (modified: 12 May 2024)
- Submitted to ICLR 2024 AGI Workshop
- Readers: Everyone
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
Yizhe Zhang, Jiarui Lu, Navdeep Jaitly
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
RET-LLM: Towards a General Read-Write Memory for Large Language Models
Ali Modarressi, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schuetze
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 22 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
RD2Bench: Toward Data-Centric Automatic R&D
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It
Ana Jojic, Zhen Wang, Nebojsa Jojic
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text
Zhenru Lin, Yiqun Yao, Yang Yuan
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Oral
- Readers: Everyone
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
Chanwoo Park, Xiangyu Liu, Asuman E. Ozdaglar, Kaiqing Zhang
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Oral
- Readers: Everyone
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
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
How to benchmark AGI: the Adversarial Game
Emmanouil Seferis
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
Rethinking harmless refusals when fine-tuning foundation models
Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena, Michael Vaiana
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
A Language Model's Guide Through Latent Space
Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Oral
- Readers: Everyone
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen
- Published: 05 Mar 2024, Last Modified: 12 May 2024
- ICLR 2024 AGI Workshop Poster
- Readers: Everyone
LLM-POWERED CONSENSUS FOR INTELLIGENT TRANSPORTATION SYSTEM
ICLR 2024 Workshop AGI Submission17 Authors
- 09 Feb 2024 (modified: 12 May 2024)
- Submitted to ICLR 2024 AGI Workshop
- Readers: Everyone