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cs.CL2026
CIG: Measuring Conversational Information Gain in Deliberative Dialogues with Semantic Memory Dynamics
Ming-Bin Chen, Jey Han Lau, Lea Frermann
Measuring the quality of public deliberation requires evaluating not only civility or argument structure, but also the informational progress of a conversation. We introduce a fram…
cs.CL2026
Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning
Yanbei Jiang, Amr Keleg, Ryandito Diandaru +4
While the real world is inherently stochastic, Large Language Models (LLMs) are predominantly evaluated on single-round inference against fixed ground truths. In this work, we shif…