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20242026
most citedExploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

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

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cs.AI2026

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization

Xinbang Dai, Zheyu Xin, Huikang Hu +7

Large Reasoning Models (LRMs) often suffer from overthinking due to redundant verification steps. Existing approaches for mitigating overthinking, such as fast-slow thinking switch…

cs.AI2025

ELAIPBench: A Benchmark for Expert-Level Artificial Intelligence Paper Understanding

Xinbang Dai, Huikang Hu, Yongrui Chen +6

While large language models (LLMs) excel at many domain-specific tasks, their ability to deeply comprehend and reason about full-length academic papers remains underexplored. Exist…