Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 8
Planning
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Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 15 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
Autonomous Tree-search Ability of Large Language Models
Paper • 2310.10686 • Published • 2 -
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
Paper • 2310.08582 • Published • 3 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 36 -
SmartPlay : A Benchmark for LLMs as Intelligent Agents
Paper • 2310.01557 • Published • 13 -
Are Human-generated Demonstrations Necessary for In-context Learning?
Paper • 2309.14681 • Published • 1 -
Agent Instructs Large Language Models to be General Zero-Shot Reasoners
Paper • 2310.03710 • Published • 2 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
SteP: Stacked LLM Policies for Web Actions
Paper • 2310.03720 • Published • 8 -
You Only Look at Screens: Multimodal Chain-of-Action Agents
Paper • 2309.11436 • Published • 1 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 33 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 80 -
SCREWS: A Modular Framework for Reasoning with Revisions
Paper • 2309.13075 • Published • 18 -
LLM Guided Inductive Inference for Solving Compositional Problems
Paper • 2309.11688 • Published • 1 -
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation
Paper • 2310.08185 • Published • 8 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
Retrieval-Generation Synergy Augmented Large Language Models
Paper • 2310.05149 • Published • 1 -
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence
Paper • 2310.05388 • Published • 4 -
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Paper • 2310.08992 • Published • 12 -
Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Paper • 2305.10601 • Published • 15 -
Large Language Models Are Also Good Prototypical Commonsense Reasoners
Paper • 2309.13165 • Published • 1 -
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
Paper • 2305.18395 • Published • 1 -
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Paper • 2304.11477 • Published • 3 -
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Paper • 2305.14909 • Published • 1 -
Dynamic Planning with a LLM
Paper • 2308.06391 • Published • 2 -
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Paper • 2305.11014 • Published • 2 -
SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge
Paper • 2308.12682 • Published • 2 -
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Paper • 2305.11554 • Published • 2 -
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Paper • 2304.09842 • Published • 2 -
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models
Paper • 2309.12767 • Published • 1 -
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Paper • 2310.03051 • Published • 35 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 34 -
Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency
Paper • 2309.17382 • Published • 6 -
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach
Paper • 2306.03604 • Published • 1 -
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 15 -
AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn
Paper • 2306.08640 • Published • 27 -
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation
Paper • 2311.04254 • Published • 15 -
On the Planning, Search, and Memorization Capabilities of Large Language Models
Paper • 2309.01868 • Published • 1 -
TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
Paper • 2311.11315 • Published • 7 -
PathFinder: Guided Search over Multi-Step Reasoning Paths
Paper • 2312.05180 • Published • 10 -
ProTIP: Progressive Tool Retrieval Improves Planning
Paper • 2312.10332 • Published • 8 -
TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Paper • 2402.01622 • Published • 38 -
ADaPT: As-Needed Decomposition and Planning with Language Models
Paper • 2311.05772 • Published • 12 -
Graph schemas as abstractions for transfer learning, inference, and planning
Paper • 2302.07350 • Published • 1 -
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 50