{"total":65,"rows":[{"id":"2308.12950","title":"Code Llama: Open Foundation Models for Code","created":"2023-08-24","cited_by_count":2139,"area":"lr"},{"id":"2406.12793","title":"ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools","created":"2024-06-18","cited_by_count":1121,"area":"lr"},{"id":"2507.02259","title":"MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent","created":"2025-07-03","cited_by_count":246,"area":"lr"},{"id":"2504.21318","title":"Phi-4-reasoning Technical Report","created":"2025-04-30","cited_by_count":151,"area":"lr"},{"id":"2402.14083","title":"Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping","created":"2024-02-21","cited_by_count":90,"area":"lr"},{"id":"2312.01823","title":"Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication","created":"2023-12-04","cited_by_count":82,"area":"lr"},{"id":"2402.02244","title":"Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models","created":"2024-02-03","cited_by_count":76,"area":"lr"},{"id":"2311.08734","title":"Thread of Thought Unraveling Chaotic Contexts","created":"2023-11-15","cited_by_count":72,"area":"lr"},{"id":"2310.15166","title":"Large Language Models are Visual Reasoning Coordinators","created":"2023-10-23","cited_by_count":58,"area":"lr"},{"id":"2503.06692","title":"InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models","created":"2025-03-09","cited_by_count":54,"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":"2509.23040","title":"Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents","created":"2025-09-27","cited_by_count":38,"area":"lr"},{"id":"2505.00551","title":"100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models","created":"2025-05-01","cited_by_count":30,"area":"lr"},{"id":"2411.08147","title":"Large Language Models Can Self-Improve in Long-context Reasoning","created":"2024-11-12","cited_by_count":29,"area":"lr"},{"id":"2312.08901","title":"Fewer is More: Boosting LLM Reasoning with Reinforced Context Pruning","created":"2023-12-14","cited_by_count":26,"area":"lr"},{"id":"2406.12830","title":"What Are the Odds? Language Models Are Capable of Probabilistic Reasoning","created":"2024-06-18","cited_by_count":26,"area":"lr"},{"id":"2408.03246","title":"Making Long-Context Language Models Better Multi-Hop Reasoners","created":"2024-08-06","cited_by_count":26,"area":"lr"},{"id":"2410.03227","title":"ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering","created":"2024-10-04","cited_by_count":26,"area":"lr"},{"id":"2401.03411","title":"GRAM: Global Reasoning for Multi-Page VQA","created":"2024-01-07","cited_by_count":23,"area":"lr"},{"id":"2505.18610","title":"PM-KVQ: Progressive Mixed-precision KV Cache Quantization for Long-CoT LLMs","created":"2025-05-24","cited_by_count":22,"area":"lr"},{"id":"2502.20790","title":"Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision","created":"2025-02-28","cited_by_count":21,"area":"lr"},{"id":"2502.08482","title":"Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned Reasoning","created":"2025-02-12","cited_by_count":19,"area":"lr"},{"id":"2406.19292","title":"From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data","created":"2024-06-27","cited_by_count":18,"area":"lr"},{"id":"2512.13898","title":"Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs","created":"2025-12-15","cited_by_count":18,"area":"lr"},{"id":"2502.01941","title":"Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression","created":"2025-02-04","cited_by_count":16,"area":"lr"},{"id":"2502.12583","title":"LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data","created":"2025-02-18","cited_by_count":16,"area":"lr"},{"id":"2603.02146","title":"LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards","created":"2026-03-02","cited_by_count":15,"area":"lr"},{"id":"2504.06214","title":"From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models","created":"2025-04-08","cited_by_count":14,"area":"lr"},{"id":"2506.05587","title":"MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmark","created":"2025-06-05","cited_by_count":14,"area":"lr"},{"id":"2506.13059","title":"Multipole Attention for Efficient Long Context Reasoning","created":"2025-06-16","cited_by_count":14,"area":"lr"},{"id":"2409.06679","title":"E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning","created":"2024-09-10","cited_by_count":13,"area":"lr"},{"id":"2605.22344","title":"Bernini: Latent Semantic Planning for Video Diffusion","created":"2026-05-21","cited_by_count":12,"area":"lr"},{"id":"2312.09542","title":"Marathon: A Race Through the Realm of Long Context with Large Language Models","created":"2023-12-15","cited_by_count":9,"area":"lr"},{"id":"2406.12331","title":"Retrieval Meets Reasoning: Dynamic In-Context Editing for Long-Text Understanding","created":"2024-06-18","cited_by_count":9,"area":"lr"},{"id":"2409.18006","title":"Evaluating Multilingual Long-Context Models for Retrieval and Reasoning","created":"2024-09-26","cited_by_count":8,"area":"lr"},{"id":"2308.01727","title":"Local Large Language Models for Complex Structured Medical Tasks","created":"2023-08-03","cited_by_count":7,"area":"lr"},{"id":"2502.12962","title":"Infinite Retrieval: Attention Enhanced LLMs in Long-Context Processing","created":"2025-02-18","cited_by_count":7,"area":"lr"},{"id":"2505.17315","title":"Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning","created":"2025-05-22","cited_by_count":7,"area":"lr"},{"id":"2403.01851","title":"Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral","created":"2024-03-04","cited_by_count":6,"area":"lr"},{"id":"2503.09819","title":"Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval","created":"2025-03-12","cited_by_count":5,"area":"lr"},{"id":"2501.00712","title":"Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding","created":"2025-01-01","cited_by_count":4,"area":"lr"},{"id":"2504.12637","title":"Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation","created":"2025-04-17","cited_by_count":4,"area":"lr"},{"id":"2507.06415","title":"PERK: Long-Context Reasoning as Test-Time Learning","created":"2025-07-08","cited_by_count":4,"area":"lr"},{"id":"2508.02121","title":"A Survey on AgentOps: Categorization, Challenges, and Future Directions","created":"2025-08-04","cited_by_count":4,"area":"lr"},{"id":"2510.25804","title":"Beyond Length: Quantifying Long-Range Information for Long-Context LLM Pretraining Data","created":"2025-10-29","cited_by_count":4,"area":"lr"},{"id":"2505.16928","title":"Beyond Needle(s) in the Embodied Haystack: Environment, Architecture, and Training Considerations for Long Context Reasoning","created":"2025-05-22","cited_by_count":3,"area":"lr"},{"id":"2510.00028","title":"Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis with Weight Rescaling","created":"2025-09-26","cited_by_count":3,"area":"lr"},{"id":"2510.20535","title":"ARC-Encoder: learning compressed text representations for large language models","created":"2025-10-23","cited_by_count":3,"area":"lr"},{"id":"2601.12499","title":"Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck","created":"2026-01-18","cited_by_count":3,"area":"lr"},{"id":"2605.12227","title":"A Recipe for Long-Context Reasoning in Large Language Models via On-Policy Optimization and Distillation","created":"2026-05-12","cited_by_count":3,"area":"lr"},{"id":"2504.04150","title":"Reasoning on Multiple Needles In A Haystack","created":"2025-04-05","cited_by_count":2,"area":"lr"},{"id":"2601.01195","title":"Reinforcement Learning Enhanced Multi-hop Reasoning for Temporal Knowledge Question Answering","created":"2026-01-03","cited_by_count":2,"area":"lr"},{"id":"2606.21943","title":"Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning","created":"2026-06-20","cited_by_count":2,"area":"lr"},{"id":"2410.06396","title":"MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks","created":"2024-10-08","cited_by_count":1,"area":"lr"},{"id":"2508.20351","title":"Joint Enhancement of Relational Reasoning for Long-Context LLMs","created":"2025-08-28","cited_by_count":1,"area":"lr"},{"id":"2602.06291","title":"Judging What We Cannot Solve: A Consequence-Based Approach for Oracle-Free Evaluation of Research-Level Math","created":"2026-02-06","cited_by_count":1,"area":"lr"},{"id":"2606.23687","title":"Randomized YaRN Improves Length Generalization for Long-Context Reasoning","created":"2026-06-22","cited_by_count":1,"area":"lr"},{"id":"2510.08648","title":"Inverse-Free Wilson Loops for Transformers: A Practical Diagnostic for Invariance and Order Sensitivity","created":"2025-10-09","cited_by_count":0,"area":"lr"},{"id":"2601.11908","title":"PPA-Plan: Proactive Pitfall Avoidance for Reliable Planning in Long-Context LLM Reasoning","created":"2026-01-17","cited_by_count":0,"area":"lr"},{"id":"2606.01581","title":"Agent System Operations: Categorization, Challenges, and Future Directions","created":"2026-06-01","cited_by_count":0,"area":"lr"},{"id":"2606.24937","title":"The Hitchhiker's Guide to Agentic AI: From Foundations to Systems","created":"2026-06-22","cited_by_count":0,"area":"lr"},{"id":"2608.03048","title":"PI-Mem: Pushing Long-Context Reasoning to 3.6M Tokens with Parallel-Iterative Memory","created":"2026-08-04","cited_by_count":0,"area":"lr"},{"id":"2609.10441","title":"ConvMem: Convolutional Memory for Long-Context Reasoning","created":"2026-09-09","cited_by_count":0,"area":"lr"},{"id":"2609.33485","title":"DISCO: Distributed Long Context Scaling with Grounding-Reasoning Disaggregation","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2610.19928","title":"MemDuet: Learning Dual-Process Memory for Long-Context Reasoning","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}