Reading Notes of Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning Reading Notes of ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution Reading Notes of RLKV: Which Heads Matter for Reasoning? RL-Guided KV Cache Compression Reading Notes of SideQuest: Model-Driven KV Cache Management for Long-Horizon Agentic Reasoning Reading Notes of CacheCraft: Discovering KV Cache Eviction Policies via LLM-Guided Program Evolution Reading Notes of The Pitfalls of KV Cache Compression Reading Notes of KVP: Learning to Evict from Key-Value Cache Reading Notes of H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reading Notes of SWE-Pruner: Self-Adaptive Context Pruning for Coding Agents Reading Notes of EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management Reading Notes of ACM: Agentic Context Management for Long Horizon Tasks Reading Notes of ACON: Optimizing Context Compression for Long-horizon LLM Agents

Reading Notes of Selective Context: Compressing Context to Enhance Inference Efficiency of Large Language Models Reading Notes of LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models Reading Notes of DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference

Could you give me a hint? Generating inference graphs for defeasible reasoning

Reading Notes of How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources

Reading Notes of JLens: Verbalizable Representations Form a Global Workspace in Language Models

Introduction to How Learning Works: 7 Research-Based Principles for Smart Teaching