150 citations · 178 across the 33 of their papers we have counts for
6 papers · 1 filter
Text-Guided Semantic Image Encoder
Raghuveer Thirukovalluru, Xiaochuang Han, Bhuwan Dhingra +2
Image encoders, a fundamental component of vision-language models (VLMs), are typically pretrained independently before being aligned with a language model. This standard paradigm…
InData: Towards Secure Multi-Step, Tool-Based Data Analysis
Karthikeyan K, Raghuveer Thirukovalluru, Bhuwan Dhingra +1
Large language model agents for data analysis typically generate and execute code directly on databases. However, when applied to sensitive data, this approach poses significant se…
A Platform for Investigating Public Health Content with Efficient Concern Classification
Christopher Li, Rickard Stureborg, Bhuwan Dhingra +1
A recent rise in online content expressing concerns with public health initiatives has contributed to already stalled uptake of preemptive measures globally. Future public health e…
Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models
Yukun Huang, Sanxing Chen, Jian Pei +2
Large language models can answer questions correctly and still hallucinate their citations. Most citation systems address this by retrieving documents at inference time. Retrieval…
Breaking the Batch Barrier (B3) of Contrastive Learning via Smart Batch Mining
Raghuveer Thirukovalluru, Rui Meng, Ye Liu +7
Contrastive learning (CL) is a prevalent technique for training embedding models, which pulls semantically similar examples (positives) closer in the representation space while pus…
Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff
Maximilian Holsman, Yukun Huang, Bhuwan Dhingra
Speculative Decoding (SD) enforces strict distributional equivalence to the target model when accepting candidate tokens. While it maintains the target model's generation quality,…