5 papers
Decisive: Guiding User Decisions with Optimal Preference Elicitation from Unstructured Documents
Akriti Jain, Anish Mulay, Divyansh Verma +3
Decision-making is a cognitively intensive task that requires synthesizing relevant information from multiple unstructured sources, weighing competing factors, and incorporating su…
MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference
Jeonghyun Park, Ingeol Baek, Seunghyun Yoon +5
Real-world multi-hop QA is naturally linked with ambiguity, where a single query can trigger multiple reasoning paths that require independent resolution. Since ambiguity can occur…
Knowing What's Missing: Assessing Information Sufficiency in Question Answering
Akriti Jain, Aparna Garimella
Determining whether a provided context contains sufficient information to answer a question is a critical challenge for building reliable question-answering systems. While simple p…
Modeling Contextual Passage Utility for Multihop Question Answering
Akriti Jain, Aparna Garimella
Multihop Question Answering (QA) requires systems to identify and synthesize information from multiple text passages. While most prior retrieval methods assist in identifying relev…
Doc2Chart: Intent-Driven Zero-Shot Chart Generation from Documents
Akriti Jain, Pritika Ramu, Aparna Garimella +1
Large Language Models (LLMs) have demonstrated strong capabilities in transforming text descriptions or tables to data visualizations via instruction-tuning methods. However, it is…