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Collections including paper arxiv:2401.17464

Reflexion: Language Agents with Verbal Reinforcement Learning

Paper • 2303.11366 • Published Mar 20, 2023 • 5
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Paper • 2305.11738 • Published May 19, 2023 • 8
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 184
Training Language Model Agents without Modifying Language Models

Paper • 2402.11359 • Published Feb 17, 2024 • 2
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph

Paper • 2402.11163 • Published Feb 17, 2024 • 2
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Tool Usage (w/VLMs)

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Paper • 2303.11381 • Published Mar 20, 2023 • 2
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
Salesforce/xlam-function-calling-60k

Viewer • Updated Jan 24, 2025 • 60k • 3.37k • 560

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 42
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 21
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 38

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation

Paper • 2401.15688 • Published Jan 28, 2024 • 11
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26, 2024 • 73
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

Paper • 2401.15071 • Published Jan 26, 2024 • 37

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 108
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 20
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31, 2024 • 22

Prompting papers

Important papers to read related to AI prompting research

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets

Paper • 2305.02897 • Published May 4, 2023

Tool Use | Function Calling

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

Paper • 2408.04226 • Published Aug 8, 2024
allenai/mathfish

Updated Aug 9, 2024 • 141 • 7

Reflexion: Language Agents with Verbal Reinforcement Learning

Paper • 2303.11366 • Published Mar 20, 2023 • 5
Self-Refine: Iterative Refinement with Self-Feedback

Paper • 2303.17651 • Published Mar 30, 2023 • 2
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Paper • 2305.11738 • Published May 19, 2023 • 8
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Executable Code Actions Elicit Better LLM Agents

Paper • 2402.01030 • Published Feb 1, 2024 • 184
Training Language Model Agents without Modifying Language Models

Paper • 2402.11359 • Published Feb 17, 2024 • 2
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph

Paper • 2402.11163 • Published Feb 17, 2024 • 2
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 108
LLaMA: Open and Efficient Foundation Language Models

Paper • 2302.13971 • Published Feb 27, 2023 • 20
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts

Paper • 2407.21770 • Published Jul 31, 2024 • 22

Tool Usage (w/VLMs)

MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action

Paper • 2303.11381 • Published Mar 20, 2023 • 2
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
Salesforce/xlam-function-calling-60k

Viewer • Updated Jan 24, 2025 • 60k • 3.37k • 560

Prompting papers

Important papers to read related to AI prompting research

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets

Paper • 2305.02897 • Published May 4, 2023

Chain-of-Thought Reasoning Without Prompting

Paper • 2402.10200 • Published Feb 15, 2024 • 109
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 42
BitDelta: Your Fine-Tune May Only Be Worth One Bit

Paper • 2402.10193 • Published Feb 15, 2024 • 21
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

Paper • 2402.09727 • Published Feb 15, 2024 • 38

Tool Use | Function Calling

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
Divide and Conquer: Language Models can Plan and Self-Correct for Compositional Text-to-Image Generation

Paper • 2401.15688 • Published Jan 28, 2024 • 11
SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Paper • 2401.15024 • Published Jan 26, 2024 • 73
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

Paper • 2401.15071 • Published Jan 26, 2024 • 37

Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 21
Evaluating Language Model Math Reasoning via Grounding in Educational Curricula

Paper • 2408.04226 • Published Aug 8, 2024
allenai/mathfish

Updated Aug 9, 2024 • 141 • 7

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