arXiv:2609.04715v1 Announce Type: new Abstract: Personalizing large language models (LLMs) is essential for delivering AI assistance that aligns with…
Shadow Queries for Private Retrieval in Vector Databases
arXiv:2609.04767v1 Announce Type: new Abstract: Large language models (LLMs) increasingly rely on information retrieval (IR) systems, such as…
Aplaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM
arXiv:2609.04738v1 Announce Type: new Abstract: In this paper, we study the problem of personalized survey response prediction using fine-tuned large…
DCFA: Dual-view Causal-inspired Attribution for Failure Reasoning in LLM-based Multi-agent Systems
arXiv:2609.04749v1 Announce Type: new Abstract: Large language model (LLM)-based multi-agent systems have experienced rapid growth in recent years.…
FinalityBench: An Effect-Level Benchmark for Agent Decisions Under Delayed and Conflicting Financial Finality
arXiv:2609.04706v1 Announce Type: new Abstract: A merchant’s payment processor, ledger, ERP and bank feed are updated by messages that get delayed,…
Model Retirement Creates Reproducibility Risk in Biomedical AI Publications
arXiv:2609.04699v1 Announce Type: new Abstract: Background. Large language models (LLMs) are being adopted in biomedical research at a rapid and…
Predicting Spatiotemporal Mobile Sensing-Based PM2.5 Concentrations Using Low-Rank Adapted Spatially Attentive Graph Neural Network
arXiv:2609.04693v1 Announce Type: new Abstract: Urban air quality can vary significantly along transit corridors, necessitating high-resolution…
Train What You Deploy:Token-Faithful Post-Training of a Production Coding
arXiv:2609.04678v1 Announce Type: new Abstract: Existing post-training pipelines for coding and terminal agents suffer severe token and control fidelity…
SQL-Zero: Self-Evolving Text-to-SQL
arXiv:2609.04697v1 Announce Type: new Abstract: Training a competitive Text-to-SQL agent usually depends on human-annotated natural-language/SQL pairs,…
ERPBench: Evaluating LLM Agents for Enterprise Decision-Making Across Competitive Market Ecologies
arXiv:2609.04667v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly proposed for enterprise workflows, yet existing…
AI News Brief Hourly Summary 2026-09-07 09h : 11 posts
11 posts published in the last hour 06:32Leveraging Imperfect Restoration for Data Availability Attack 06:32Harness-agnostic detection and immunization of reward hacking in self-evolving language models 06:32A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark 06:32SiLR:…
Leveraging Imperfect Restoration for Data Availability Attack
arXiv:2609.04627v1 Announce Type: new Abstract: The abundance of online data is at risk of unauthorized usage in training deep learning models. To counter…
Harness-agnostic detection and immunization of reward hacking in self-evolving language models
arXiv:2609.04665v1 Announce Type: new Abstract: Self-evolving language models improve by proposing candidate updates and keeping whatever raises a visible…
A Cost-Aware Agentic Architecture for NL-to-SQL over Nested Enterprise Schemas, with a New Benchmark
arXiv:2609.04641v1 Announce Type: new Abstract: Natural-language-to-SQL systems have ad- vanced rapidly on academic benchmarks, yet production enterprise…
SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents
arXiv:2609.04629v1 Announce Type: new Abstract: A runtime gate for an LLM tool agent is usually cast as a filter. In a ReAct loop a rejected proposal is…
NEURA and SECO Partner on Robot Compute Modules Built in Europe
NEURA Robotics and SECO announced a strategic partnership on September 7, 2026, under which the Italian embedded-computing company will design, engineer…
Continual Graph Memory for Adaptive Recommendation under Intent Drift
arXiv:2609.04651v1 Announce Type: new Abstract: This paper studies adaptive recommendation under intent drift, where feedback from each recommendation…
Extremely Sparse Supervision Incentivizes Reasoning Ability
arXiv:2609.04565v1 Announce Type: new Abstract: Large language models demonstrate increasingly strong reasoning capabilities through effective…