5 papers
CAST: Critique-Aware Supervision for Training Reliable Long-Horizon Tool-Calling Agents
Amir Saeidi, Zehua Zhang, Rishitosh Singh +6
Large language model (LLM) agents are increasingly deployed in long-horizon, interactive, and stateful environments. In these settings, a single wrong action, such as refunding the…
EviSearch: Trustworthy Extraction and Synthesis of Clinical Trial Evidence with Agents that Improve with Use
Naman Ahuja, Saniya Mulla, Abhijit Chakraborty +6
Structured extraction of evidence from clinical trial publications underpins systematic reviews and clinical guidelines, yet large language models are adopted for it only hesitantl…
Moneyball with LLMs: Analyzing Tabular Summarization in Sports Narratives
Ritam Upadhyay, Naman Ahuja, Rishabh Baral +2
Large language model (LLM) approaches to tabular summarization rely on extensive prompt engineering, decomposition pipelines, or entity-level intermediate representations to achiev…
SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization
Sebastian Martinez, Naman Ahuja, Fenil Bardoliya +2
We present a modular, interactive system, SPORTSQL, for natural language querying and visualization of dynamic sports data, with a focus on the English Premier League (EPL). The sy…
Map&Make: Schema Guided Text to Table Generation
Naman Ahuja, Fenil Bardoliya, Chitta Baral +1
Transforming dense, detailed, unstructured text into an interpretable and summarised table, also colloquially known as Text-to-Table generation, is an essential task for informatio…