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J. Boyd-Graber

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Open access 2026

Um, Actually: Timely and Calibrated Fact-Checking with DIVER

Fact verification pipelines are often unrealistic: they assume full-input access, operate on isolated atomic claims, and overlook the central question of when a system should act under partial evidence. We introduce DIVER (Deliberative and Iterative fact VERification), an LLM -based framework for calibrated incremental...

Sen-Yi Zhang, Tasnim Kabir, Jordan L. Boyd-Graber · 0 citations

DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering

The rich, community-sensitive answering behavior structurally revealed by DiscoTrace can guide the development of pragmatic LLM answerers that are more attuned to contextual information needs.

Neha Srikanth, J. Boyd-Graber, Rachel Rudinger · 2 citations · ⚡1

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