Cool Papers · cs.IR (papers.cool) · RSS 摘要

信源：Cool Papers · cs.IR (papers.cool) · https://papers.cool/arxiv/cs.IR/feed

• Diverse-Teacher On-Policy Distillation for Generative Recommendation — Generative recommendation generates the semantic ID (SID) of the next item from a user's interaction history. Existing training objectives mainly supervise target SID tokens, whil…
• Dhārā Bench: An Evidence-Oriented Retrieval Benchmark for Indian Knowledge Systems — Dhārā Bench is a retrieval benchmark for Indian Knowledge Systems (IKS), with 325 questions in 12 categories and 60,121 text chunks from 15 source groups. The categories were deve…
• Every Clause Counts: Instruction-Following Reranking by Multiplying Small, Answerable Questions — People often attach instructions to their search queries, asking for pages written for beginners, documents in a certain language or official sources only. Most rerankers were tra…
• Preprocessing Choices in Fine-Tuning Data Matter: Utility and Demographic Sensitivity in LLM-Based Recommendation — Large language models (LLMs) have introduced a generative approach to recommendation, producing item lists from textual representations of user histories and item information. How…
• PACERec: Progressive Adaptation of LLM Item Embeddings with Collaborative Evidence for Recommendation — Large language model (LLM) embeddings have been increasingly adopted in sequential recommendation to encode static item attributes and alleviate the limitations of item ID embeddi…