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20242026
most citedA Survey of Reinforcement Learning for Large Reasoning Models

2 citations · 8 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.AI2024★ 1 cited

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization

Ermo Hua, Che Jiang, Xingtai Lv +7

Extending the context length of Language Models (LMs) by improving Rotary Position Embedding (RoPE) has become a trend. While prior works mainly address RoPE's limitations within a…

cs.CL2024

LFQA-E: Carefully Benchmarking Long-form QA Evaluation

Yuchen Fan, Chen Lin, Xin Zhong +11

Long-Form Question Answering (LFQA) involves generating comprehensive, paragraph-level responses to open-ended questions, which poses a significant challenge for evaluation due to…

cs.CL2024

EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation

Yuchen Fan, Yazhe Wan, Xin Zhong +3

Since LLMs emerged, more attention has been paid to abstractive long-form summarization, where longer input sequences indicate more information contained. Nevertheless, the automat…

cs.CL2024

Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models

Yantao Liu, Zijun Yao, Xin Lv +5

Providing knowledge documents for large language models (LLMs) has emerged as a promising solution to update the static knowledge inherent in their parameters. However, knowledge i…

cs.CL2024★ 1 cited

Evaluating Generative Language Models in Information Extraction as Subjective Question Correction

Yuchen Fan, Yantao Liu, Zijun Yao +3

Modern Large Language Models (LLMs) have showcased remarkable prowess in various tasks necessitating sophisticated cognitive behaviors. Nevertheless, a paradoxical performance disc…