2 papers
cs.CL2026
Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
Zhenjiang Mao, Anirudhh Venkat, Artem Bisliouk +4
Large Language Models (LLMs) increasingly rely on long-form, multi-step reasoning to solve complex tasks such as mathematical problem solving and scientific question answering. Des…
cs.CL2025
Unified Multi-Task Learning & Model Fusion for Efficient Language Model Guardrailing
James O' Neill, Santhosh Subramanian, Eric Lin +1
The trend towards large language models (LLMs) for guardrailing against undesired behaviors is increasing and has shown promise for censoring user inputs. However, increased latenc…