Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference (2025 · 28 citations)
Discrete diffusion language models can generate many tokens in parallel, but two problems limit them in practice.
Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent Adaptation (2026 · 2 citations)
LLM agents that run for long periods keep failing on tasks but rarely turn those failures into lasting lessons, so the same errors recur.
AdaMix: Adaptive Mixing for Short and Long Reasoning Adapters (2026)
Large Reasoning Models tend to produce long chain-of-thought traces even for easy questions. This "overthinking" wastes compute and adds latency. Existing fixes have weaknesses. RL length penalties push one model toward two competing goals, model merging fixes the weights once for all inputs, and routing usually…
Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy Optimization (2026)
Search agents built on LLMs learn to query external engines during multi-round reasoning, but reinforcement learning for such agents faces a dilemma.

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Papers of our library cite their works 30 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated 1 November 2026