3 papers
cs.CL2026
Are Language Models Sensitive to Morally Irrelevant Distractors?
Andrew Shaw, Christina Hahn, Catherine Rasgaitis +5
With the rapid uptake of large language models (LLMs) across high-stakes settings, it is becoming increasingly important to ensure that LLMs behave in ways that align with human va…
cs.CL2026
InfoGatherer: Principled Information Seeking via Evidence Retrieval and Strategic Questioning
Maksym Taranukhin, Shuyue Stella Li, Evangelos Milios +3
LLMs are increasingly deployed in high-stakes domains such as medical triage and legal assistance, often as document-grounded QA systems in which a user provides a description, rel…
cs.CV2025
MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
Junhao Chen, Yulia Tsvetkov, Xiaochuang Han
Recent progress in multimodal generation has increasingly combined autoregressive (AR) and diffusion-based approaches, leveraging their complementary strengths: AR models capture l…