arXiv:2608.11210v1 Announce Type: new Abstract: Bayesian calibration of process-based models requires a prior distribution for each model parameter.…
Category: AI
TrAC: Trace-Conditioned Answer Consistency for Efficient Uncertainty Quantification in LLMs
arXiv:2608.00422v2 Announce Type: replace Abstract: Large language models (LLMs) can generate fluent reasoning traces that nevertheless lead to incorrect…
Euclid-MCP: A Model Context Protocol Server for Deterministic Logical Reasoning via Prolog
arXiv:2607.21412v2 Announce Type: replace Abstract: Large Language Models (LLMs) excel at natural language understanding and generation but remain…
AttriMem: Attribution-Guided Process Feedback for Agent Memory Construction
arXiv:2607.21106v3 Announce Type: replace Abstract: Effective memory is crucial for LLM agents, yet constructing it effectively remains challenging. A…
EviBack: Search-Agent Reinforcement Learning via Evidence-Constrained Teacher Backoff
arXiv:2607.23955v3 Announce Type: replace Abstract: Reinforcement learning enables Agentic RAG systems to learn multi-turn search from verifiable outcome…
Learning and Structurally Validating Simulation Scenario Continuations in Dynamic Graph Systems
arXiv:2607.21421v2 Announce Type: replace Abstract: Data-driven generative models can extend partially observed simulation trajectories into ensembles of…
Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems
arXiv:2607.10309v2 Announce Type: replace Abstract: Reinforcement learning (RL) is commonly employed to enhance the performance of autonomous systems,…
Coachable agents for interactive gameplay
arXiv:2607.00642v2 Announce Type: replace Abstract: Reinforcement learning has proven to be a valuable tool in the creation of advanced AI and robotic…
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
arXiv:2606.24112v2 Announce Type: replace Abstract: Multimodal misinformation detection is increasingly important because viral posts now combine long…
SAE-StatSteer: Statistical Consensus Feature Selection for Optimization-Free Activation Steering of Large Language Models
arXiv:2607.19364v2 Announce Type: replace Abstract: Activation steering adds a residual-stream direction at inference time, providing lightweight…