Search papers, labs, and topics across Lattice.
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ActSafeGuard is introduced, a differentiable and training-aligned safeguard layer for flow-matching based policies that integrates hard action feasibility into policy learning, not merely treating safety as an inference-time external component.
Female-oriented gaming communities experience starkly divergent hostility across platforms鈥攔eaching nearly six times higher toxicity on Weibo than Reddit鈥攚ith the majority of coordinated harassment campaigns directed at developers rather than players.
User context can significantly skew financial analysis in LLMs, with interpretation biases overshadowing evidence selection.
SemPOI-RL not only boosts the quality of out-of-town POI recommendations but also makes the underlying reasoning interpretable, bridging the gap between LLM capabilities and structured generation.
CUBIST achieves state-of-the-art results in action quality assessment by leveraging multimodal data for precise error attribution and feedback generation.
RecVerse outperforms traditional simulators by maintaining a nuanced understanding of user intent and memory, leading to more realistic shopping behaviors.
Extracting hidden reasoning traces from black-box models is not only feasible but poses a substantial security risk, with EchoCoT achieving over 66% accuracy in retrieval.
Dynamic reward shaping can dramatically improve UAV target localization by optimizing exploration strategies based on proximity to the target.
GEO-optimized content is more prevalent than expected, with nearly 9% of web pages showing signs of manipulation, raising alarms about the integrity of information in generative search engines.
Instance segmentation accuracy improves by over 5% with a topology-aware approach that redefines query selection as a relational problem rather than a series of independent decisions.
