7 citations · 8 across the 8 of their papers we have counts for
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cs.LG2026
Imperfect Verifiers, Exact Targets: Inference-Time Scaling for Continuous Generation
Kijung Jeon, Molei Tao
Verifier-guided inference-time scaling uses additional computation to score intermediate states and steer generation toward better outputs. However, imperfect intermediate verifier…
cs.CL2026
Not What, But How: A Framework for Auditing LLM Responses across Positioning, Generalization, Anthropomorphism, and Maxims
Siddhesh Milind Pawar, Sarah Masud, Haneul Yoo +2
Large language models (LLMs) are being increasingly used to answer subjective, information-seeking questions, where users are sensitive to how responses are communicated, not just…
cs.CL2026
OLA: Output Language Alignment in Code-Switched LLM Interactions
Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama +1
Code-switching, alternating between languages within a conversation, is natural for multilingual users, yet poses fundamental challenges for large language models (LLMs). When a us…