2 citations · 8 across the 26 of their papers we have counts for
9 papers · 1 filter
Knowing When Not to Answer: Abstention and Refusal Reasoning in Vision--Language Models
Karan Dua, Amit Agarwal, Hitesh Laxmichand Patel +8
Many medical conditions require diagnosis through detailed, multi-context clinical assessment rather than from visual appearance alone. Despite this, vision-language models (VLMs)…
GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations
Jyotika Singh, Fang Tu, Aziza Mirsaidova +11
Benchmarks like GSM8K are popular measures of mathematical reasoning, but leaderboard gains can overstate true capability due to memorization of fixed test sets. Most robustness va…
Do Image-Text Metrics Respect Semantic Invariances?
Amit Agarwal, Hitesh Laxmichand Patel, Meizhu Liu +9
Reference-free image-to-text evaluators are now standard for scoring image-caption alignment, yet it is unclear whether they respect semantic invariances. We present an invariance…
Robust Audio-Text Retrieval via Cross-Modal Attention and Hybrid Loss
Meizhu Liu, Matthew Rowe, Amit Agarwal +8
Audio-text retrieval enables semantic alignment between audio content and natural language queries, supporting applications in multimedia search, accessibility, and surveillance. H…
Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
Samuel Cahyawijaya, Peerat Limkonchotiwat, Tack Hwa Wong +45
While the field of vision-language (VL) has achieved remarkable success in integrating visual and textual information across multiple languages and domains, there is still no dedic…
Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning
Jiashu He, Meizhu Liu, Olaitan P Olaleye +9
Decoding strategies play a central role in shaping the reasoning ability of large language models (LLMs). Traditional methods such as greedy decoding and beam search often suffer f…