{"total":27,"rows":[{"id":"2308.12950","title":"Code Llama: Open Foundation Models for Code","created":"2023-08-24","cited_by_count":2139,"area":"lr"},{"id":"2411.13543","title":"BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games","created":"2024-11-20","cited_by_count":146,"area":"lr"},{"id":"2402.01391","title":"StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback","created":"2024-02-02","cited_by_count":77,"area":"lr"},{"id":"2305.18583","title":"Controllable Text-to-Image Generation with GPT-4","created":"2023-05-29","cited_by_count":59,"area":"lr"},{"id":"2502.19411","title":"Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs","created":"2025-02-26","cited_by_count":47,"area":"lr"},{"id":"2403.16437","title":"Reasoning Runtime Behavior of a Program with LLM: How Far Are We?","created":"2024-03-25","cited_by_count":45,"area":"lr"},{"id":"2310.14053","title":"Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain","created":"2023-10-21","cited_by_count":31,"area":"lr"},{"id":"2306.00108","title":"Better patching using LLM prompting, via Self-Consistency","created":"2023-05-31","cited_by_count":29,"area":"lr"},{"id":"2410.01999","title":"CodeMMLU: A Multi-Task Benchmark for Assessing Code Understanding & Reasoning Capabilities of CodeLLMs","created":"2024-10-02","cited_by_count":18,"area":"lr"},{"id":"2505.10425","title":"Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs","created":"2025-05-15","cited_by_count":16,"area":"lr"},{"id":"2502.20868","title":"ProBench: Benchmarking Large Language Models in Competitive Programming","created":"2025-02-28","cited_by_count":15,"area":"lr"},{"id":"2502.16614","title":"CodeCriticBench: A Holistic Code Critique Benchmark for Large Language Models","created":"2025-02-23","cited_by_count":14,"area":"lr"},{"id":"2504.04699","title":"R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation","created":"2025-04-07","cited_by_count":7,"area":"lr"},{"id":"2509.14093","title":"Reasoning Efficiently Through Adaptive Chain-of-Thought Compression: A Self-Optimizing Framework","created":"2025-09-17","cited_by_count":6,"area":"lr"},{"id":"2510.18863","title":"EffiReasonTrans: RL-Optimized Reasoning for Code Translation","created":"2025-10-21","cited_by_count":5,"area":"lr"},{"id":"2505.14354","title":"WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications","created":"2025-05-20","cited_by_count":4,"area":"lr"},{"id":"2405.03509","title":"Are Human Rules Necessary? Generating Reusable APIs with CoT Reasoning and In-Context Learning","created":"2024-05-06","cited_by_count":2,"area":"lr"},{"id":"2406.15468","title":"MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models","created":"2024-06-15","cited_by_count":2,"area":"lr"},{"id":"2504.15989","title":"Optimizing Token Consumption in LLMs: A Nano Surge Approach for Code Reasoning Efficiency","created":"2025-04-22","cited_by_count":2,"area":"lr"},{"id":"2511.15375","title":"Parameter Importance-Driven Continual Learning for Foundation Models","created":"2025-11-19","cited_by_count":2,"area":"lr"},{"id":"2410.13666","title":"VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks","created":"2024-10-17","cited_by_count":1,"area":"lr"},{"id":"2602.13962","title":"CodeGlance: Understanding Code Reasoning Challenges in LLMs through Multi-Dimensional Feature Analysis","created":"2026-02-15","cited_by_count":1,"area":"lr"},{"id":"2604.12379","title":"Beyond Output Correctness: Benchmarking and Evaluating Large Language Model Reasoning in Coding Tasks","created":"2026-04-14","cited_by_count":1,"area":"lr"},{"id":"2507.18476","title":"Automated Code Review Using Large Language Models with Symbolic Reasoning","created":"2025-07-24","cited_by_count":0,"area":"lr"},{"id":"2509.17337","title":"LLaVul: A Multimodal LLM for Interpretable Vulnerability Reasoning about Source Code","created":"2025-09-22","cited_by_count":0,"area":"lr"},{"id":"2608.09068","title":"Pseudo2CodeQA: A Benchmark for LLM-Based Structured Algorithmic Reasoning in Code Generation","created":"2026-08-10","cited_by_count":0,"area":"lr"},{"id":"2609.28449","title":"Can LLMs Reason About Runtime Behavior? A Repository-Level Dynamic Benchmark","created":"2026-09-23","cited_by_count":0,"area":"lr"}],"next_cursor":null}