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cs.AI2026
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
Avijit Ghosh, Anka Reuel, Jenny Chim +45
AI evaluation results are produced at scale but reported inconsistently across leaderboards, model cards, benchmark papers, and company blogs. The cost is interpretive: readers can…
cs.CL2026
On Challenges in Evaluation Methodology: A Review
Ruchira Dhar, Anders Søgaard, Qiwei Peng
Recent advances in language models have prompted a growing body of work that questions prevailing evaluation practices. However, many such critiques have already been discussed in…
cs.CL2026
Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives
Ruchira Dhar, Qiwei Peng, Anders Søgaard
Compositionality is considered central to language abilities. As performant language systems, how do large language models (LLMs) do on compositional tasks? We evaluate adjective-n…