Showing cs.CLShow all
2 papers · 1 filter
cs.CL2026
The Wording Effect: Quantifying Two-Way Drift in LLM Benchmark Performance
Shailja Thakur, Sungeun An, Chad DeLuca +1
A benchmark score comes from a single phrasing of each problem. That single phrasing is treated as if it stood for the whole space of ways the same problem could be asked, but it d…
cs.CL2026
NC-Bench: An LLM Benchmark for Evaluating Conversational Competence
Robert J. Moore, Sungeun An, Farhan Ahmed +1
Existing LLM benchmarks evaluate what models say, such as whether answers are correct, faithful, or helpful, but they do not test whether models produce the right type of conversat…