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Apr 22, 2024
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Discover the best community collections!
Collections including paper arxiv:2404.12833
Collection by
Sep 16, 2025
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Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 71
Collection by
Apr 22, 2024
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ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Paper • 2401.16467 • Published • 10 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 50 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7
Collection by
Oct 1, 2025
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Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 19 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 27 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 28 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 23
Collection by
Apr 22, 2024
Collection by
Apr 24, 2024
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Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 43 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34
Collection by
Jul 1, 2024
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Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 98 -
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Paper • 2403.02545 • Published • 17 -
StarCoder: may the source be with you!
Paper • 2305.06161 • Published • 31 -
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
Paper • 2308.10462 • Published • 2
Collection by
Feb 13, 2025
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Paper • 2002.08155 • Published • 2 -
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Paper • 2402.14658 • Published • 83 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 73 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 79
Collection by
Apr 22, 2024
Collection by
Apr 22, 2024
Collection by
Sep 16, 2025
-
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 71
Collection by
Apr 24, 2024
-
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 43 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34
Collection by
Apr 22, 2024
-
ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Paper • 2401.16467 • Published • 10 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 50 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7
Collection by
Jul 1, 2024
-
Design2Code: How Far Are We From Automating Front-End Engineering?
Paper • 2403.03163 • Published • 98 -
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Paper • 2403.02545 • Published • 17 -
StarCoder: may the source be with you!
Paper • 2305.06161 • Published • 31 -
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
Paper • 2308.10462 • Published • 2
Collection by
Oct 1, 2025
-
Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 19 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 27 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 28 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 23
Collection by
Feb 13, 2025
-
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Paper • 2002.08155 • Published • 2 -
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Paper • 2402.14658 • Published • 83 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 73 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 79