440 citations · 947 across the 43 of their papers we have counts for
14 papers · 1 filter
Grammar Search for Multi-Agent Systems
Mayank Singh, Vikas Yadav, Shiva Krishna Reddy Malay +4
Automatic search for Multi-Agent Systems has recently emerged as a key focus in agentic AI research. Several prior approaches have relied on LLM-based free-form search over the cod…
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval
Ahmed Masry, Megh Thakkar, Patrice Bechard +9
Retrieval-augmented generation has proven practical when models require specialized knowledge or access to the latest data. However, existing methods for multimodal document retrie…
Grounding Computer Use Agents on Human Demonstrations
Aarash Feizi, Shravan Nayak, Xiangru Jian +14
Building reliable computer-use agents requires grounding: accurately connecting natural language instructions to the correct on-screen elements. While large datasets exist for web…
Optimizing What Matters: AUC-Driven Learning for Robust Neural Retrieval
Nima Sheikholeslami, Erfan Hosseini, Patrice Bechard +2
Dual-encoder retrievers depend on the principle that relevant documents should score higher than irrelevant ones for a given query. Yet the dominant Noise Contrastive Estimation (N…
AU-Harness: An Open-Source Toolkit for Holistic Evaluation of Audio LLMs
Hoang Nguyen, Sidharth Surapaneni, Akshay Kalkunte +9
Large Audio Language Models (LALMs) are rapidly advancing, but evaluating them remains challenging due to inefficient and non-standardized toolkits that limit fair comparison and s…
WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
Rabiul Awal, Mahsa Massoud, Aarash Feizi +10
We present WebMMU, a multilingual benchmark that evaluates three core web tasks: (1) website visual question answering, (2) code editing involving HTML/CSS/JavaScript, and (3) mock…