arXiv:2608.21305v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has demonstrated significant gains in image captioning, yet it is still…
Tag: AI
TurboBias 2.0: Streaming Context-Biasing for Production-Efficient ASR Systems
arXiv:2608.21343v1 Announce Type: cross Abstract: Contextualization is essential for production automatic speech recognition (ASR) systems, where…
EnSI-RAG: Entity-Structure-Indexed Retrieval-Augmented Generation for Long-Document Question Answering
arXiv:2608.21252v1 Announce Type: cross Abstract: Question answering (QA) over long, connected documents remains challenging because relevant evidence may…
AI with Authority, from Application to Silicon
arXiv:2608.21356v1 Announce Type: cross Abstract: For sixty years, machine verification has been a major cost overhead, affordable only for exceptional…
Primal Acceleration of Newton’s Method
arXiv:2608.21359v1 Announce Type: cross Abstract: We develop a new direct accelerated Newton method for minimizing convex functions with Lipschitz…
No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
arXiv:2608.21206v1 Announce Type: cross Abstract: Person names are widely used as prompt variables in LLM evaluations of factuality, privacy leakage, bias…
Specification Portability Across LLM Development Agents: Cross-Agent Compatibility in Specification-Driven Software Migration
arXiv:2608.21208v1 Announce Type: cross Abstract: This paper investigates cross-agent specification portability using Oracle-to-PostgreSQL migration as a…
Utility Under Attack: Agent Memory Poisoning and the Limits of Content Screening and Provenance Ranking
arXiv:2608.21230v1 Announce Type: cross Abstract: Persistent memory makes false information durable: once a false statement is stored, it can be retrieved…
Curriculum-Aware Interpolate-then-Refine: Learned Physiological Time-Series Imputation under Realistic Missingness
arXiv:2608.21207v1 Announce Type: cross Abstract: Imputing physiological time series (arterial blood pressure, blood glucose, etc.) is essential for…
Adapting Knowledge Graphs for Behavior Denoising in Sequential Recommendation
arXiv:2608.21243v1 Announce Type: cross Abstract: Sequential recommendation predicts the next item from a user’s interaction history, but not every…