3 papers
cs.CL2026
Mistake Notebook Learning: Batch-Clustered Failures for Training-Free Agent Adaptation
Xuanbo Su, Yingfang Zhang, Hao Luo +2
With the growing adoption of Large Language Model (LLM) agents in persistent, real-world roles, they naturally encounter continuous streams of tasks and inevitable failures. A key…
cs.CL2025
Seed Diffusion: A Large-Scale Diffusion Language Model with High-Speed Inference
Yuxuan Song, Zheng Zhang, Cheng Luo +19
We present Seed Diffusion Preview, a large-scale language model based on discrete-state diffusion, offering remarkably fast inference speed. Thanks to non-sequential, parallel gene…
cs.LG2025
Learning to Rank Chain-of-Thought: Using a Small Model
Eric Hanchen Jiang, Haozheng Luo, Shengyuan Pang +9
Large Language Models (LLMs) struggle with reliable mathematical reasoning, and current verification methods are often computationally expensive. This paper introduces the Energy O…