Li-ViP3D++: Query-Gated Deformable Camera-LiDAR Fusion for End-to-End Perception and Trajectory Prediction
arXiv:2601.20720v1 Announce Type: cross Abstract: End-to-end perception and trajectory prediction from raw sensor data is one of the key capabilities…
R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning
arXiv:2601.19620v2 Announce Type: replace-cross Abstract: Large reasoning models (LRMs) aim to solve diverse and complex problems through structured reasoning. Recent…
Agentic Business Process Management Systems
arXiv:2601.18833v1 Announce Type: new Abstract: Since the early 90s, the evolution of the Business Process Management (BPM) discipline has been…
SeNeDiF-OOD: Semantic Nested Dichotomy Fusion for Out-of-Distribution Detection Methodology in Open-World Classification. A Case Study on Monument Style Classification
arXiv:2601.18739v2 Announce Type: replace-cross Abstract: Out-of-distribution (OOD) detection is a fundamental requirement for the reliable deployment of artificial intelligence applications…
Reimagining Peer Review Process Through Multi-Agent Mechanism Design
arXiv:2601.19778v1 Announce Type: cross Abstract: The software engineering research community faces a systemic crisis: peer review is failing under growing…
Veri-Sure: A Contract-Aware Multi-Agent Framework with Temporal Tracing and Formal Verification for Correct RTL Code Generation
arXiv:2601.19747v1 Announce Type: cross Abstract: In the rapidly evolving field of Electronic Design Automation (EDA), the deployment of Large Language…
Streaming-dLLM: Accelerating Diffusion LLMs via Suffix Pruning and Dynamic Decoding
arXiv:2601.17917v2 Announce Type: replace-cross Abstract: Diffusion Large Language Models (dLLMs) offer a compelling paradigm for natural language generation, leveraging parallel…
Explaining Group Recommendations via Counterfactuals
arXiv:2601.16882v2 Announce Type: cross Abstract: Group recommender systems help users make collective choices but often lack transparency, leaving group members…
When Agents Fail to Act: A Diagnostic Framework for Tool Invocation Reliability in Multi-Agent LLM Systems
arXiv:2601.16280v1 Announce Type: new Abstract: Multi-agent systems powered by large language models (LLMs) are transforming enterprise automation, yet systematic evaluation…
Improving Training Efficiency and Reducing Maintenance Costs via Language Specific Model Merging
arXiv:2601.16127v2 Announce Type: replace-cross Abstract: Fine-tuning a task-specific multilingual large language model (LLM) involves training the model on a multilingual…
