1 citations · 1 across the 9 of their papers we have counts for
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Unequal Voices: How LLMs Construct Constrained Queer Narratives
Atreya Ghosal, Ashim Gupta, Vivek Srikumar
One way social groups are marginalized in discourse is that the narratives told about them often default to a narrow, stereotyped range of topics. In contrast, default groups are a…
Distillation versus Contrastive Learning: How to Train Your Rerankers
Zhichao Xu, Zhiqi Huang, Shengyao Zhuang +1
Training effective text rerankers is crucial for information retrieval. Two strategies are widely used: contrastive learning (optimizing directly on ground-truth labels) and knowle…
Found in Translation: Measuring Multilingual LLM Consistency as Simple as Translate then Evaluate
Ashim Gupta, Maitrey Mehta, Zhichao Xu +1
Large language models (LLMs) provide detailed and impressive responses to queries in English. However, are they really consistent at responding to the same query in other languages…
Test-Time Scaling with Repeated Sampling Improves Multilingual Text Generation
Ashim Gupta, Vivek Srikumar
Inference-time scaling via repeated sampling has shown promise in reasoning tasks, but its effectiveness in multilingual generation remains underexplored. We evaluate this approach…