activity
20202025
most citedSimultaneous Preference and Metric Learning from Paired Comparisons

3 citations · 7 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms

Shrey Pandit, Xuan-Phi Nguyen, Yifei Ming +4

Web-based 'deep research' agents aim to solve complex question - answering tasks through long-horizon interactions with online tools. These tasks remain challenging, as the underly…

cs.AI2025

Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math

Shrey Pandit, Austin Xu, Xuan-Phi Nguyen +3

Large language model (LLM)-based reasoning systems have recently achieved gold medal-level performance in the IMO 2025 competition, writing mathematical proofs where, to receive fu…

cs.CL20242 cited

SFR-RAG: Towards Contextually Faithful LLMs

Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam +7

Retrieval Augmented Generation (RAG), a paradigm that integrates external contextual information with large language models (LLMs) to enhance factual accuracy and relevance, has em…

cs.LG20222 cited

Active metric learning and classification using similarity queries

Namrata Nadagouda, Austin Xu, Mark A. Davenport

Active learning is commonly used to train label-efficient models by adaptively selecting the most informative queries. However, most active learning strategies are designed to eith…

stat.ML20203 cited

Simultaneous Preference and Metric Learning from Paired Comparisons

Austin Xu, Mark A. Davenport

A popular model of preference in the context of recommendation systems is the so-called \emph{ideal point} model. In this model, a user is represented as a vector toge…