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Topic · 48 recaps
Reasoning
Methods that improve how language models think through problems — chain-of-thought, search, verification, and the reasoning-trained model families that have emerged since o1-style training.
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Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
Agents · Sep 8
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Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization
Agents · Sep 8
0
Revisiting Complete Reasoning Traces for Post-Training
LLM Training · Sep 7
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Your Model's Chain of Thought Is a Sensor, Not a Security Boundary
Alignment · Sep 4 · 14:56
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BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
Inference Optimization · Sep 4
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Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs
Mechanistic Interpretability · Sep 4
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RISE: Recursive Improvement via Self-Extrapolating Policy Distillation
LLM Training · Sep 4
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Unfold The World: Factorize 4D Properties in Reinforcing Spatial Reasoning
Multimodal · Sep 3
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Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning
Inference Optimization · Sep 3 · 5:58
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Causal Foundation Models
Evaluation · Sep 2 · 7:23
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