ICLR 2024PastLarge language modelsAgents
ICLR 2024 Workshop on Large Language Model (LLM) Agents
LLMAgents @ ICLR 2024
- 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 (96)
Fetched from OpenReview (v2) on 2026-06-10.
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
A-CONECT: Designing AI-based Conversational Chatbot for Early Dementia Intervention
Adapting Uni-Modal Language Models for Dense Multi-Modal Co-Reference Resolution using Parameter Augmentation
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Agents: An Open-source Framework for Autonomous Language Agents
An Embodied Generalist Agent in 3D World
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL
Are Machines Better at Slow Thinking? Unveiling Human-Machine Inference Gaps in Entailment Verification
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
BOLAA: BENCHMARKING AND ORCHESTRATING LLM AUTONOMOUS AGENTS
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA
Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal Reasoning
Collaborative LLM-Agents for Editable Driving Scene Simulation
Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
Decision-Oriented Dialogue for Human-AI Collaboration
Do LLM Agents Have Regret? A Case Study in Online Learning and Games
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction
EcoAssistant: Using LLM Assistants More Affordably and Accurately
Efficient Human-AI Coordination via Preparatory Language-based Convention
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
Empowering Autonomous Driving with Large Language Models: A Safety Perspective
Executable Code Actions Elicit Better LLM Agents
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View
Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web
Expressing and Exploiting Parallelism in Language Model Decoding
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
FL-TAC: Enhanced Fine-Tuning in Federated Learning via Low-Rank, Task-Specific Adapter Clustering
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
GPT-4V(ision) is a Generalist Web Agent, if Grounded
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models
Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
IntentGPT: Few-shot Intent Discovery with Large Language Models
Is it Possible to Edit Large Language Models Robustly?
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects
LangProp: A code optimization framework using Large Language Models applied to driving
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Language-guided Skill Learning with Temporal Variational Inference
Large Language Model Evaluation Via Multi AI Agents: Preliminary results
Large Language Models can Strategically Deceive their Users when Put Under Pressure
LEAGUE++: EMPOWERING CONTINUAL ROBOT LEARNING THROUGH GUIDED SKILL ACQUISITION WITH LARGE LANGUAGE MODELS
Limitations of Agents Simulated by Predictive Models
LLF-Bench: Benchmark for Interactive Learning from Language Feedback
LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
LLM-Deliberation: Evaluating LLMs with Interactive Multi-Agent Negotiation Game
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
MAGIC: INVESTIGATION OF LARGE LANGUAGE MODEL POWERED MULTI-AGENT IN COGNITION, ADAPTABILITY, RATIONALITY AND COLLABORATION
Making Retrieval-Augmented Language Models Robust to Irrelevant Context
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning
Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
Open-TI: Open Traffic Intelligence with Augmented Language Model
OpenAgents: An Open Platform for Language Agents in the Wild
OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks
Preference-Conditioned Language-Guided Abstraction
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science
ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning
R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
R2E: Turning any Github Repository into a Programming Agent Environment
Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
REX: Rapid Exploration and eXploitation for AI agents
S-Agents: Self-organizing Agents in Open-ended Environments
SAGE: Bridging Semantic and Actionable Parts for Generalizable Manipulation of Articulated Objects
SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Self-Alignment of Large Language Models via Multi-Agent Social Simulation
SELF-IMAGINE: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination
Self-Training Language Models in Arithmetic Reasoning
Simulating Opinion Dynamics with Networks of LLM-based Agents
TaskBench: Benchmarking Large Language Models for Task Automation
The Agent Ohana: Designing Unified Data and Training Pipeline for Effective Agent Learning
The ART of LLM Refinement: Ask, Refine, Trust
The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-based Agents
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study
Towards Natural Language-Driven Industrial Assembly Using Foundation Models
Towards Self-Improving Language Models for Code Generation
Towards Unified Alignment Between Agents, Humans, and Environment
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
WavCraft: Audio Editing and Generation with Large Language Models
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?