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F. Shyu

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Learning Evidence Highlighting for Frozen LLMs

HiLight, an Evidence Emphasis framework that decouples evidence selection from reasoning for frozen LLM solvers, is introduced, an Evidence Emphasis framework that decouples evidence selection from reasoning for frozen LLM solvers.

Shao-Ang Li, Yanhang Shi, Yufei Li et al. · 0 citations
Preprint Jul 2026

SCOReD: Student-Aware CoT Optimization for Recommendation Distillation

Student-Aware CoT Optimization for Recommendation Distillation (SCOReD), a CoT optimization framework tailored to recommendation that first parses each teacher trace into typed segments and uses the student LLM's attention to score the importance of each segment.

H. S. Shahgir, Yufei Li, Xiaohan Wei et al. · 0 citations
Jul 2026

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers

Large Language Models (LLMs) have emerged as powerful assets for recommender systems. However, deploying them as generative recommenders or zero-shot rankers at web-scale remains bottlenecked by prohibitive computational overhead and grounding challenges. In this paper, we revitalize the classic, highly efficient two-t...

Zhe Xu, Prachi Agrawal, Kavosh Asadi et al. · 0 citations
Preprint Jul 2026

Self-Guided Test-Time Training for Long-Context LLMs

A simple method, Self-Guided TTT (S-TTT), which improves accuracy for both Qwen3-4B-Thinking-2507 and Llama-3.1-8B-Instruct, achieving up to a 15% relative improvement.

Xinyu Zhu, Zhenqin Xu, Xiaohan Wei et al. · 0 citations

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