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Showing 2026 · cs.CLShow all
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cs.CL2026
Task Complexity Matters: An Empirical Study of Reasoning in LLMs for Sentiment Analysis
Donghao Huang, Zhaoxia Wang
Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this clai…
cs.CL2026
DR-Arena: an Automated Evaluation Framework for Deep Research Agents
Yiwen Gao, Ruochen Zhao, Yang Deng +1
As Large Language Models (LLMs) increasingly operate as Deep Research (DR) Agents capable of autonomous investigation and information synthesis, reliable evaluation of their task p…