16 citations · 43 across the 12 of their papers we have counts for
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cs.CL2024★ 1 cited
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation
Kun Qian, Shunji Wan, Claudia Tang +4
As large language models achieve impressive scores on traditional benchmarks, an increasing number of researchers are becoming concerned about benchmark data leakage during pre-tra…
cs.CL2024★ 1 cited
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
Maximillian Chen, Ruoxi Sun, Tomas Pfister +1
Large language models (LLMs), optimized through human feedback, have rapidly emerged as a leading paradigm for developing intelligent conversational assistants. However, despite th…