Collections
Discover the best community collections!
Collections including paper arxiv:2404.02575
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V-STaR: Training Verifiers for Self-Taught Reasoners
Paper • 2402.06457 • Published • 3 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 41 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 46
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ReGAL: Refactoring Programs to Discover Generalizable Abstractions
Paper • 2401.16467 • Published • 7 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 46 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 6
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Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
Paper • 2403.09029 • Published • 53 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 21 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 65 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 54
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 46 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 126 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 17
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Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 45 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 55 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 46 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 20 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 15 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
The Impact of Reasoning Step Length on Large Language Models
Paper • 2401.04925 • Published • 15
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GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 174 -
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
Paper • 2404.02575 • Published • 46 -
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs
Paper • 2404.05719 • Published • 57
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Creative Robot Tool Use with Large Language Models
Paper • 2310.13065 • Published • 7 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 29 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 69