ICLR 2024PastOther
ICLR 2024 Workshop: How Far Are We From AGI
ICLR 2024 AGI Workshop
- Submission deadline
- Feb 12, 2024, 23:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (34)
Fetched from OpenReview (v2) on 2026-06-10.
A Language Model's Guide Through Latent Space
AI Alignment with Changing and Influenceable Reward Functions
An Embodied Generalist Agent in 3D World
Can Large Language Model Agents Simulate Human Trust Behaviors?
CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Collaborative LLM-Agents for Editable Driving Scene Simulation
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
Efficient Causal Graph Discovery Using Large Language Models
Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Generative Representational Instruction Tuning
GPT Is Becoming a Turing Machine: Here Are Some Ways to Program It
How Far Are We from Intelligent Visual Deductive Reasoning?
How to benchmark AGI: the Adversarial Game
Incentivizing Inclusive Data Contributions in Personalized Federated Learning
Large Language Models Are Not Strong Abstract Reasoners Yet
LEAGUE++: EMPOWERING CONTINUAL ROBOT LEARNING THROUGH GUIDED SKILL ACQUISITION WITH LARGE LANGUAGE MODELS
MARS: A Benchmark for Multi-LLM Algorithmic Routing System
Neural Retrievers are Biased Towards LLM-Generated Content
On the Shape of Brainscores for Large Language Models (LLMs)
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
RD2Bench: Toward Data-Centric Automatic R&D
RET-LLM: Towards a General Read-Write Memory for Large Language Models
Rethinking harmless refusals when fine-tuning foundation models
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models
The Pitfalls of Next-Token Prediction
Thought-Retriever: Don’t Just Retrieve Raw Data, Retrieve Thoughts
Towards Human-like Machine Vision: Representing Part-Whole Relationship with hierarchically correlated neuronal activation in neural networks
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation