Multi-Agent Contextual Exploration framework for promoting exploration in LLM agent interactions.

Study on ML Dockerfile refactoring patterns to reduce container footprint and build times.

Tactile and Vision Conditioned Contact-Centric Control for whole-arm manipulation.

An architecture featuring LLM-based opinion extraction and entity-linked metadata for diverse RAG responses.

A vision-language planner that interleaves thoughts to improve long-horizon robot planning.

Benchmark for evaluating text-to-SQL capabilities for AI-native SQL workflows.

A routing framework for large-scale CVRP that enables collaborative optimization between subproblems.

An AT Proto-based P2P filesystem with IPFS integration for decentralized file storage and syncing.

A gradient editing module that induces epistemic frames to prevent Negation Neglect in LLMs during finetuning.

Framework for online personalized active preference alignment in diffusion models.

Search-based spatiotemporal and multi-robot motion planning on graphs of space-time convex sets.

An optimal any-angle path planning algorithm for static and dynamic environments.

LLM-as-a-judge framework for operationalizing EU copyright doctrine to detect stylistic appropriation

Temporally Consistent Learning Framework for real-time Transrectal Ultrasound prostate video segmentation.

Tabular benchmark for predicting cardiometabolic risk from accelerometry data.

A mechanism-conditioned multi-agent framework for Drug-Drug Interaction (DDI) prediction.

Executable longitudinal evaluation framework for evolving clinical decision systems/doctor agents.

Critic-free RL framework that stabilizes advantage estimation using historical reward moments.

Concept-Guided In-Context Segmentation framework for robust visual segmentation.

Lightweight plug-in module for enhancing adversarial robustness via activation scaling.