LumberChunker: Lengthy-Type Narrative Doc Segmentation – Machine Studying Weblog | ML@CMU
Hyperlinks:Paper | Code | Knowledge LumberChunker lets an LLM determine the place a protracted story must be cut up, creating ...
Hyperlinks:Paper | Code | Knowledge LumberChunker lets an LLM determine the place a protracted story must be cut up, creating ...
CMU researchers are presenting 156 papers on the Thirty-Ninth Annual Convention on Neural Info Processing Techniques (NeurIPS 2025), held from ...
Individuals use LLMs to ask for perception on quite a lot of vital questions: future planning, emotional issues, scientific analysis. ...
Determine 1: Our framework for validating LLM-as-a-judge techniques underneath score indeterminacy, the place objects in a subjective score process can ...
CMU researchers are presenting 156 papers on the Thirty-Ninth Annual Convention on Neural Data Processing Programs (NeurIPS 2025), held from ...
Determine 1. Three regimes of exploration: Present RL mannequin can discover through: (1) sharpening: merely will increase probability on traces ...
CMU researchers are presenting 50 papers on the Thirtieth Convention on Empirical Strategies in Pure Language Processing (EMNLP 2025), held ...
This weblog put up relies on the work BaNEL: Exploration Posteriors for Generative Modeling Utilizing Solely Unfavorable Rewards. Tackling Very ...
TLDR: In case you are compute-constrained, use autoregressive fashions; in case you are data-constrained, use diffusion fashions. Motivation Progress in ...
Verlog is a multi-turn reinforcement studying framework constructed for long-horizon LLM-agentic duties with extremely variable episode lengths. Extending VeRL and ...
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