CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper
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2401.03065
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Published
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11
Symbolic LLM Reasoning
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DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Paper • 2401.14196 • Published • 47 -
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation
Paper • 2312.14187 • Published • 49 -
On the Effectiveness of Large Language Models in Domain-Specific Code Generation
Paper • 2312.01639 • Published • 1 -
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Paper • 2401.03003 • Published • 12 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 79 -
InstructCoder: Empowering Language Models for Code Editing
Paper • 2310.20329 • Published • 2 -
Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions
Paper • 2312.12450 • Published • 1 -
LLM-Assisted Code Cleaning For Training Accurate Code Generators
Paper • 2311.14904 • Published • 4 -
The Program Testing Ability of Large Language Models for Code
Paper • 2310.05727 • Published • 1 -
Binding Language Models in Symbolic Languages
Paper • 2210.02875 • Published • 1 -
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
Paper • 2401.07324 • Published • 3 -
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
Paper • 2401.05384 • Published -
T-Eval: Evaluating the Tool Utilization Capability Step by Step
Paper • 2312.14033 • Published • 2 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 100 -
Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning
Paper • 2401.17686 • Published -
Large Language Models Are Neurosymbolic Reasoners
Paper • 2401.09334 • Published • 1 -
PathFinder: Guided Search over Multi-Step Reasoning Paths
Paper • 2312.05180 • Published • 9 -
Interpreting Pretrained Language Models via Concept Bottlenecks
Paper • 2311.05014 • Published • 1 -
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 47 -
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
Paper • 2305.18323 • Published • 1 -
Why think step by step? Reasoning emerges from the locality of experience
Paper • 2304.03843 • Published -
Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
Paper • 2402.11532 • Published -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 24 -
CodeS: Towards Building Open-source Language Models for Text-to-SQL
Paper • 2402.16347 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 136 -
Common 7B Language Models Already Possess Strong Math Capabilities
Paper • 2403.04706 • Published • 16 -
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Paper • 2403.04082 • Published -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 72 -
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Paper • 2402.11140 • Published -
Structured Chain-of-Thought Prompting for Code Generation
Paper • 2305.06599 • Published • 1 -
STaR-GATE: Teaching Language Models to Ask Clarifying Questions
Paper • 2403.19154 • Published -
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency
Paper • 2404.12872 • Published • 11 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 47 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 28 -
On Memorization of Large Language Models in Logical Reasoning
Paper • 2410.23123 • Published • 16