Tag
ResearchStudio-Idea is a skill suite that combines literature search, novelty checking, and pattern-guided generation to produce traceable research proposals, built from analysis of 1,947 machine learning conference papers.
Data2Story is a multi-agent framework that transforms datasets into verifiable multimodal stories, acting as an end-to-end data journalist with evidence grounding and multimodal generation.
Introduces EHRNote-ChatQA, a benchmark for evidence-grounded multi-turn clinical question answering over multiple discharge summaries, constructed with expert validation. Benchmarking 22 LLMs reveals challenges in evidence grounding and multi-turn error accumulation.
This paper introduces FullCite, a framework for generating structured inline citations that link each claim to both its source document and specific evidence spans. Evaluated on three QA benchmarks (ASQA, BioASQ, ExpertQA), it finds that while LLMs are good at document-level attribution, they struggle with precise evidence span identification.
MedicalBench is a new benchmark for evaluating large language models on medical concept extraction from electronic health records, focusing on implicit reasoning and evidence grounding. It includes 823 expert-annotated examples and shows that current models perform modestly, highlighting the difficulty of extracting implicitly stated medical concepts.
This paper proposes a framework for parallel chunk-level processing of long documents with LLMs to reduce cumulative bias and improve evidence traceability, achieving significant reductions in omission errors and unsupported claims.