arXiv:2609.03660v1 Announce Type: cross Abstract: The dominance of Neural Networks (NNs) in RL is partially due to their incremental learning capability,…
Category: AI
Doesn’t Stop Reasoning: Analysis of Spurious CoT Termination
arXiv:2609.03633v1 Announce Type: cross Abstract: Chain-of-thought (CoT) reasoning improves large reasoning models (LRMs) on complex tasks but often…
Test-time adaptation for speech enhancement with an autoregressive speech prior
arXiv:2609.03622v1 Announce Type: cross Abstract: Test-time adaptation (TTA) offers a promising direction for improving speech enhancement models under…
EraseSAE: Surgical Concept Erasure in Text-to-Video Diffusion Models via Sparse Autoencoders
arXiv:2609.03629v1 Announce Type: cross Abstract: Recent advances in text-to-video (T2V) diffusion models have demonstrated remarkable generative…
Remember and Reweight: Enhancing Multi-Agent Debate with Experience Memory and Confidence Estimation
arXiv:2609.03619v1 Announce Type: cross Abstract: Multi-agent debate (MAD) improves the reasoning capabilities of large language models by having multiple…
FailBench: How Reliable are VLMs at Judging Robot Task Success?
arXiv:2609.03611v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) are increasingly used to evaluate robot manipulation outcomes, but…
ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection
arXiv:2609.03620v1 Announce Type: cross Abstract: Audio deepfake detection is commonly formulated as clip-level binary classification of single-domain…
LevelSyn: Physical-Aware Logic Synthesis via Level-Asynchronous Graph Neural Networks
arXiv:2609.03594v1 Announce Type: cross Abstract: As integrated circuit technology scales into the nanometer regime, the traditional disconnect between…
Toward Physically Grounded JEPA World Models for Goal-Conditioned Robotic Planning
arXiv:2609.03565v1 Announce Type: cross Abstract: Action-conditioned JEPA world models enable planning toward visually specified goals without…
How Far Can Synthetic Data Take Thai OCR?
arXiv:2609.03595v1 Announce Type: cross Abstract: We investigate what makes synthetic OCR supervision transfer to real Thai documents and use the…