4 papers
Neither True nor False: Do LLMs Represent Truth-Value Gaps in Plural Predication?
Duaa Nakshbandi, Zhiyu An, Yiping Li +2
Large Language Models (LLMs) are increasingly being used to summarize and verify claims in critical sources that inform consequential decisions. Such claims are full of plural defi…
Sparse-TD-JEPA: Improving Zero-Shot Reinforcement Learning With Sparse Latent Task Representations
Duaa Nakshbandi, Zhiyu An, Wan Du
Successor-feature-based zero-shot reinforcement learning methods pre-train a task encoder and successor-feature predictor on offline, reward-free data, then recover a policy at tes…
CoRF: Cross-Scene RF Synthesis by Learning Propagation and Preserving Array Physics
Kang Yang, Duaa Nakshbandi, Wan Du +1
Existing radio-frequency (RF) neural fields fit each scene separately, making new-scene deployment measurement- and optimization-intensive. This work studies amortized cross-scene…
Differential Voting: Loss Functions For Axiomatically Diverse Aggregation of Heterogeneous Preferences
Zhiyu An, Duaa Nakshbandi, Wan Du
Reinforcement learning from human feedback (RLHF) implicitly aggregates heterogeneous human preferences into a single utility function, even though the underlying utilities of the…