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cs.CL2026
GRACE: Grounded Adversarial Reasoning over Canadian Law
Jiakang Xu, Wantong Huo, Udom Silparcha +1
Large language models have shown strong performance across a range of legal tasks, but existing benchmarks rarely evaluate the ability to take and defend a legal position, reason u…
cs.CL2026
Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
Sterling Huang, Abigayle Brown, Jiyoo Noh +4
Prompt compression reduces inference cost and context length in large language models, but prior evaluations focus mainly on autoregressive architectures. This study examines wheth…
cs.CL2023
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey
Weixu Zhang, Yifei Wang, Yuanfeng Song +6
The emergence of natural language processing has revolutionized the way users interact with tabular data, enabling a shift from traditional query languages and manual plotting to m…