A code exploration tool that uses multi-level call graphs to visualize and navigate code.

Federated Knowledge Transfer via Collaborative Synthetic Data for private knowledge transfer in FL.

Hallucination Inference and Verification Engine for studying post-hallucination reasoning in VLMs.

Code implementation for End-to-End LLM Flight Planning with RAG and multi-modal agents.

Implementation of knowledge distillation for time series classification across FCN, Inception, and ConvTran architectures.

Distribution-free uncertainty quantification and conformal prediction for time series.

A regime-oriented Mixture-of-Experts framework for multivariate time-series forecasting.

A curated list of resources and papers regarding replication in visual diffusion models.

Implementation and experimental code for improving LLM-generated process models via RL.

An open-source dataset and framework for evaluating mathematical reasoning in underrepresented languages.

A multi-agent system designed to prevent Knowledge Debt by surfacing learning moments in AI-assisted coding.

A visualization language for AI agents.

A physics-derived alternative to attention for efficient long-context language modeling.

Psychometric study separating logical verdict from lexical and order biases in LLMs.

An agentic coding model capable of autonomous operation within executable repositories.

A multimodal agent that learns to orchestrate heterogeneous visual tools for image creation.

Key-Value Cache Compression with Predictive Online Pruning for autoregressive decoding.

An adaptive tree-structured rollout approach for multi-turn LLM agents based on information gain.

Hybrid agent-based modeling framework for scenario-oriented social reaction analysis.

A training-free detector for AI-generated and partially edited video detection.