Showing cs.AIShow all
2 papers · 1 filter
cs.AI2026
Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting
Liang Twist Shan, Tianyu Hu, Hao Yan +1
Large language models (LLMs) have been rapidly improving in long-context tasks, powered by Chain-of-Thought (CoT) reasoning. However, the internal mechanisms underlying this improv…
cs.AI2026
DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding
Hao Yan, Yuliang Liu, Xingchen Liu +5
Existing Multimodal Large Language Models (MLLMs) suffer from significant performance degradation on the long document understanding task as document length increases. This stems f…