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20242026
most citedLongSafety: Evaluating Long-Context Safety of Large Language Models

1 citations · 1 across the 8 of their papers we have counts for

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cs.CL2026

Separating Stream Stability from Long-Term Recall in Language Models

Peipei Cao, Xin Zhang, Jie Tang +3

Methods for streaming language models are often discussed alongside long-context and memory systems, although they solve different problems. An attention sink can stabilize autoreg…

cs.CL2025★ 1 cited

LongSafety: Evaluating Long-Context Safety of Large Language Models

Yida Lu, Jiale Cheng, Zhexin Zhang +7

As Large Language Models (LLMs) continue to advance in understanding and generating long sequences, new safety concerns have been introduced through the long context. However, the…

cs.CL2025

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators

Bosi Wen, Pei Ke, Yufei Sun +6

Since the adoption of large language models (LLMs) for text evaluation has become increasingly prevalent in the field of natural language processing (NLP), a series of existing wor…

cs.CL2024

The Superalignment of Superhuman Intelligence with Large Language Models

Minlie Huang, Yingkang Wang, Shiyao Cui +2

We have witnessed superhuman intelligence thanks to the fast development of large language models and multimodal language models. As the application of such superhuman models becom…

cs.CL2024

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Jiale Cheng, Xiao Liu, Cunxiang Wang +7

Instruction-following is a fundamental capability of language models, requiring the model to recognize even the most subtle requirements in the instructions and accurately reflect…