Position: Reasoning is a Learnable Rule-Based Process
arXiv:2608.12325v1 Announce Type: new Abstract: Autonomous reasoning is among the most scientifically and economically motivating topics in AI today. Historically…
Information Abundance Paradox: Long-Context Training Undermines Parametric Knowledge
arXiv:2608.12218v2 Announce Type: replace-cross Abstract: Large language models are increasingly trained and deployed with long contexts that span documents, code…
EGRL: Edge generation-guided relation-aware learning for RNA-protein interaction prediction
arXiv:2608.12906v1 Announce Type: cross Abstract: RNA-Protein Interactions (RPIs) are critical for regulating cellular functions. While traditional wet-lab experiments for RPI…
NaviDC-OCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
arXiv:2608.12898v1 Announce Type: cross Abstract: Document parsing aims to transform unstructured documents into structured and machine-readable representations. Recent advances in…
REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation
arXiv:2608.11698v2 Announce Type: replace-cross Abstract: On-policy distillation (OPD) trains a student on its own trajectories under dense token-level supervision from…
Towards principled knowledge editing methods for large language model reasoning
Nature Machine Intelligence, Published online: 14 August 2026; doi:10.1038/s42256-026-01276-y Chen et al. explore limitations of current knowledge editing techniques in…
Towards general auditory intelligence for machine listening and speaking
Nature Machine Intelligence, Published online: 14 August 2026; doi:10.1038/s42256-026-01281-1 Wang et al. summarize advances in machine listening and speaking, speech-based…