We have 3 of 50 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Retrieval-augmented generation (RAG) improves knowledge-intensive large language model (LLM) applications by conditioning generation on retrieved documents, but longer contexts increase latency, key-value (KV) cache memory, and token cost. Post-retrieval compression can reduce this cost, yet existing compressors often...
This work introduces PRISM (Peer Review Intelligence via Structured Multi-dimensional assessment), a benchmarking framework that evaluates review quality across four dimensions: Depth of Analysis, Novelty Assessment, Law Identification&Major Issues Prioritization, and Multi-dimensional Constructiveness.
This paper investigates the cause of reasoning shrinkage under SFT-based post-training and identifies data-centric factors as a key driver of shrinkage in reasoning models and highlights diversity-aware designs as an effective lever for controlling it.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
