{"total":36,"rows":[{"id":"2403.09629","title":"Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking","created":"2024-03-14","cited_by_count":301,"area":"lr"},{"id":"2312.01552","title":"The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning","created":"2023-12-04","cited_by_count":257,"area":"lr"},{"id":"2502.12067","title":"TokenSkip: Controllable Chain-of-Thought Compression in LLMs","created":"2025-02-17","cited_by_count":249,"area":"lr"},{"id":"2412.19442","title":"A Survey on Large Language Model Acceleration based on KV Cache Management","created":"2024-12-27","cited_by_count":131,"area":"lr"},{"id":"2412.11664","title":"C3oT: Generating Shorter Chain-of-Thought without Compromising Effectiveness","created":"2024-12-16","cited_by_count":119,"area":"lr"},{"id":"2502.15589","title":"LightThinker: Thinking Step-by-Step Compression","created":"2025-02-21","cited_by_count":104,"area":"lr"},{"id":"2310.05707","title":"Guiding Language Model Reasoning with Planning Tokens","created":"2023-10-09","cited_by_count":58,"area":"lr"},{"id":"2310.15166","title":"Large Language Models are Visual Reasoning Coordinators","created":"2023-10-23","cited_by_count":58,"area":"lr"},{"id":"2602.15902","title":"Doc-to-LoRA: Learning to Instantly Internalize Contexts","created":"2026-02-13","cited_by_count":43,"area":"lr"},{"id":"2508.09968","title":"Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models","created":"2025-08-13","cited_by_count":35,"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":"2409.13035","title":"TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning","created":"2024-09-19","cited_by_count":22,"area":"lr"},{"id":"2405.05955","title":"Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool Planning","created":"2024-05-09","cited_by_count":13,"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":"2511.18659","title":"CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning","created":"2025-11-24","cited_by_count":11,"area":"lr"},{"id":"2606.10662","title":"Decentralized Multi-Agent Systems with Shared Context","created":"2026-06-09","cited_by_count":10,"area":"lr"},{"id":"2604.24432","title":"Kwai Summary Attention Technical Report","created":"2026-04-27","cited_by_count":7,"area":"lr"},{"id":"2405.17062","title":"UniICL: An Efficient Unified Framework Unifying Compression, Selection, and Generation","created":"2024-05-27","cited_by_count":6,"area":"lr"},{"id":"2604.10291","title":"TimeSeriesExamAgent: Creating Time Series Reasoning Benchmarks at Scale","created":"2026-04-11","cited_by_count":6,"area":"lr"},{"id":"2602.00015","title":"G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models","created":"2026-01-12","cited_by_count":4,"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":"2602.02366","title":"ReasonCACHE: Teaching LLMs To Reason Without Weight Updates","created":"2026-02-02","cited_by_count":3,"area":"lr"},{"id":"2512.25026","title":"Modeling Language as a Sequence of Thoughts","created":"2025-12-31","cited_by_count":2,"area":"lr"},{"id":"2602.15843","title":"The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts","created":"2026-01-21","cited_by_count":2,"area":"lr"},{"id":"2604.18002","title":"Neural Garbage Collection: Learning to Forget while Learning to Reason","created":"2026-04-20","cited_by_count":2,"area":"lr"},{"id":"2606.10694","title":"REAL: A Reasoning-Enhanced Graph Framework for Long-Term Memory Management of LLMs","created":"2026-06-09","cited_by_count":2,"area":"lr"},{"id":"2606.12400","title":"Doc-to-Atom: Learning to Compile and Compose Memory Atoms","created":"2026-06-10","cited_by_count":2,"area":"lr"},{"id":"2608.00902","title":"Practical Online KV Cache Compaction for LLM Agents: An Empirical Study","created":"2026-08-02","cited_by_count":2,"area":"lr"},{"id":"2506.13192","title":"Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs","created":"2025-06-16","cited_by_count":1,"area":"lr"},{"id":"2602.10021","title":"Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference","created":"2026-02-10","cited_by_count":1,"area":"lr"},{"id":"2604.06627","title":"DiffuMask: Diffusion Language Model for Token-level Prompt Pruning","created":"2026-04-08","cited_by_count":1,"area":"lr"},{"id":"2605.09100","title":"GRC: Unifying Reasoning-Driven Generation, Retrieval and Compression","created":"2026-05-09","cited_by_count":0,"area":"lr"},{"id":"2606.03768","title":"HybridThinker: Efficient Chain-of-Thought Reasoning via Compressed Memory and Transient Thought Steps","created":"2026-06-02","cited_by_count":0,"area":"lr"},{"id":"2606.05201","title":"State commitment learning: training language models to distinguish computation from memory","created":"2026-05-22","cited_by_count":0,"area":"lr"},{"id":"2609.16372","title":"Register Tokens for Bounded-State Reasoning in Diffusion Language Models","created":"2026-09-14","cited_by_count":0,"area":"lr"},{"id":"2610.19741","title":"Does the Linguistic Register of Thinking Matter? Wenyan as a Compact Reasoning Register for Chinese LLMs","created":"2026-10-14","cited_by_count":0,"area":"lr"}],"next_cursor":null}