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cs.CL2026

Sycophancy Undermines Epistemic Vigilance in Cooperative Vision-Language Tasks

Rupak Sarkar, Neha Srikanth, Saloni Gupta +3

To maintain common ground in cooperative conversation, humans iteratively update their beliefs as conversation participants share new information; participants who are epistemicall…

cs.CL2026

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

Neha Srikanth, Jordan Boyd-Graber, Rachel Rudinger

We introduce DiscoTrace, a method to identify the rhetorical strategies that answerers use when responding to information-seeking questions. DiscoTrace represents answers as a sequ…

cs.CL2025

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs

Rupak Sarkar, Neha Srikanth, Taylor Hudson +3

While it is commonly accepted that maintaining common ground plays a role in conversational success, little prior research exists connecting conversational grounding to success in…

cs.CL2025

NLI under the Microscope: What Atomic Hypothesis Decomposition Reveals

Neha Srikanth, Rachel Rudinger

Decomposition of text into atomic propositions is a flexible framework allowing for the closer inspection of input and output text. We use atomic decomposition of hypotheses in two…

cs.CL2024

How often are errors in natural language reasoning due to paraphrastic variability?

Neha Srikanth, Marine Carpuat, Rachel Rudinger

Large language models have been shown to behave inconsistently in response to meaning-preserving paraphrastic inputs. At the same time, researchers evaluate the knowledge and reaso…

cs.CL2024

Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering

Neha Srikanth, Rupak Sarkar, Heran Mane +4

Questions posed by information-seeking users often contain implicit false or potentially harmful assumptions. In a high-risk domain such as maternal and infant health, a question-a…