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cs.CL2026
Pushback in a Haystack: Language Models Respond to Factual Errors Ambiguously and Ineffectively
Li Lucy, Myra Cheng, Svenja Guhr +7
The sycophancy of language models, or their failure to push back against faulty user input, is now widely studied. However, if LMs do push back, is sycophancy solved? We show that…
cs.CL2026
Beneath the Surface: Investigating LLMs' Capabilities for Communicating with Subtext
Kabir Ahuja, Yuxuan Li, Andrew Kyle Lampinen
Human communication is fundamentally creative, and often makes use of subtext -- implied meaning that goes beyond the literal content of the text. Here, we systematically study whe…