Freeing the Law with LOCUS: A Local Ordinance Corpus for the United States
Progress in legal AI increasingly depends on access to authoritative legal text at scale. Yet one of the most consequential layers of American law remains...
Archive
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Learning User Simulators with Turing Rewards
Learning to simulate human users in interactive settings could advance the training of agent assistants, evaluation of personalization systems, research...
Native Active Perception as Reasoning for Omni-Modal Understanding
Passive models for long video understanding typically rely on a "watch-it-all" paradigm, processing frames uniformly regardless of query difficulty...
Reference-Driven Multi-Speaker Audio Scene Generation from In-the-Wild Priors
Existing multi-speaker dialogue systems bind speakers to utterances through structured supervision: per-turn tags, multi-stream transcriptions, or...
Rethinking Reward Supervision: Rubric-Conditioned Self-Distillation
Post-training of reasoning language models is commonly driven by supervised distillation and reinforcement learning with verifiable rewards. Distillation...
UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning
Preference-based RL provides an approach to learning reward models from pairwise comparisons of behaviors, bypassing the need for explicit reward design...
EvolveNav: Proactive Preflection and Self-Evolving Memory for Zero-Shot Object Goal Navigation
Zero-Shot Object-Goal Navigation (ZS-OGN) requires embodied agents to explore and locate target objects without any prior training. To this end, recent met...
ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues
Reproducing research results from papers and released code is central to scientific progress. Existing works have introduced benchmarks to evaluate whether...
Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement
Robots deployed in the real world should learn from their experience and improve over time. This requires a mechanism of practicing and learning from feedb...
FusionRS: A Large-Scale RGB-Infrared Remote Sensing Dataset for Dual-Modal Vision-Language Foundation Models
Remote sensing vision-language models have advanced Earth observation understanding, but most existing work remains centered on RGB imagery, leaving the...