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

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

• Preserve to Expand: Source-Aware Adaptation and Model Merging for Multilingual LLM-Based ASR — Expanding multilingual ASR systems to new languages is challenging when adaptation must preserve previously supported languages without replaying source-language training data. We…
• Understanding Jev-Style System One Models: Does Structure Reduce Selection Bias? — Selection bias in large language models (LLMs) can persist despite instructions to ignore presentation order or prompts that elicit reasoning. Recent efforts to reproduce Jev-styl…
• Learning When to Commit: Schedule Distillation for Fast Diffusion Language Models — Diffusion large language models (dLLMs) can generate multiple tokens in parallel, but often require many decoding rounds to complete a response. Efficient generation depends not o…
• Quantifying Claim Smoothing by LLM Research Agents — Deep research, or any use of large language models (LLMs) to read a large document collection and produce insights, requires synthesizing information from different sources. In th…
• SEMA-Auto: Sighted and Efficient Multi-Turn Attack with Autonomy — Existing jailbreak attackers fall into two classes: static planners fix their single- or multi-turn adversarial plans in advance, remaining simple but losing sight of the victim's…