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20242026
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cs.CL2026

Lost in a Single Vector: Improving Long-Document Retrieval with Chunk Evidence Aggregation

Shanshan Lyu, Yiwei Wang, Yujun Cai +2

Dense retrieval ranks one query vector against one document vector. On long documents, this interface can fail when a short but decisive span is weakened during document encoding b…

cs.CL2026

How Creative Are Large Language Models in Generating Molecules?

Wen Tao, Yiwei Wang, Peng Zhou +6

Molecule generation requires satisfying multiple chemical and biological constraints while searching a large and structured chemical space. This makes it a non-binary problem, wher…

cs.CL2026

PRISM-: Differential Subspace Steering for Prompt Highlighting in Large Language Models

Yuyao Ge, Shenghua Liu, Yiwei Wang +6

Prompt highlighting steers a large language model to prioritize user-specified text spans during generation. A key challenge of existing Key-editing approaches is extracting steeri…

cs.CL2026

Gated Differentiable Working Memory for Long-Context Language Modeling

Lingrui Mei, Shenghua Liu, Yiwei Wang +7

Long contexts challenge transformers: attention scores dilute across thousands of tokens, critical information is often lost in the middle, and models struggle to adapt to novel pa…

cs.CL2025

Not in Sync: Unveiling Temporal Bias in Audio Chat Models

Jiayu Yao, Shenghua Liu, Yiwei Wang +5

Large Audio Language Models (LALMs) are increasingly applied to audio understanding and multimodal reasoning, yet their ability to locate when events occur remains underexplored. W…

cs.CL2025

A Survey of Context Engineering for Large Language Models

Lingrui Mei, Jiayu Yao, Yuyao Ge +12

The performance of Large Language Models (LLMs) is fundamentally determined by the contextual information provided during inference. This survey introduces Context Engineering, a f…