Retrieval-augmented generation

Retrieval pipelines, vector search, chunking and reranking: how models are grounded in a corpus instead of their weights.

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arXiv AI

Aug 18

Cross-Domain Industrial Fault Detection by Causal Mechanism Monitoring

arXiv:2608. 14666v1 Announce Type: new Abstract: Unsupervised fault detection in industrial systems is dominated by reconstruction based methods that monitor individual sensor marginal distributions.

By Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal

rag multimodal safety

arXiv AI

Aug 18

Synchronized Logit Steering: Real-world Steganography

arXiv:2608. 14697v1 Announce Type: new Abstract: Steganography in large language models offers a way to embed hidden messages within natural-sounding text.

By Andrew Rufail, Aadi Dash, Onir Narahari, Ethan Mui, Mahi Gajare, Prakhar Tiwari, Shrija Makapothula, Nick Cui

llms rag

arXiv AI

Aug 18

OTel: Building Domain-Specialized Telecom LLM Foundations for Intelligent Networks

arXiv:2608. 15436v1 Announce Type: new Abstract: Frontier AI models have advanced rapidly, but they still struggle with telecom-specific tasks.

By Farbod Tavakkoli, Roderic Paulk, Jorden Terrazas, Kenneth Church, Mark Austin, Louis Powell, Gregory Diamos, Lina Bariah, Syed Ali Raza Zaidi, Maryam Hafeez, Ali Maatouk, Imtiaz Karim

llms rag fine-tuning benchmarks safety

arXiv AI

Aug 18

SkillCommit: Evolving Agent Skills through Behaviorally Validated Scope Expansion

arXiv:2608. 15165v1 Announce Type: new Abstract: Large language model (LLM) agents can continually improve without parameter updates by converting historical experience into reusable procedural knowledge.

By Yu He, Weikai Yang

llms rag agents

arXiv Machine Learning

Aug 18

DUET: Dual-Teacher On-Policy Distillation via Same-Weight Disagreement for Prohibition Compliance

arXiv:2608. 14644v1 Announce Type: new Abstract: Real-world LLM deployments increasingly rely on runtime-injected prohibitions--enterprise policies, PII redlines, tool boundaries--that vary per request and per tenant.

By Zihan Li, Feifei Li, Wenhui Que

llms rag reinforcement-learning fine-tuning efficiency benchmarks safety

arXiv AI

Aug 18

Multimodal Language Models Benchmarked Against the NRC Reactor Operator Licensing Examination: Fine-Tuning and Retrieval Strategies

arXiv:2607. 22067v2 Announce Type: replace-cross Abstract: Competence claims for a language model in a safety-critical domain are credible when measured against a standard the domain already enforces.

By Isak Hwang, Yoon Pyo Lee, Syed Bahauddin Alam

llms rag fine-tuning multimodal safety

arXiv AI

Aug 18

HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL

arXiv:2608. 16837v1 Announce Type: cross Abstract: Humanoid robots hold great promise as general-purpose agents in human-centered environments, yet generalist vision-language-action (VLA) foundation models are not readily applicable to humanoid whole-body loco-manipulation.

By Langzhe Gu, Chengkai Hou, Meng Li, Xinhua Wang, Jiaming Liu, Xinyuan Lv, Bowei Zhang, Shuanghao Bai, Guangrun Li, Jingyang He, Gaole Dai, Ziluo Ding, Zhiyuan Xu, Kuan Cheng, Jian Tang, Zhengping Che, Shanghang Zhang

rag agents reinforcement-learning robotics multimodal safety

arXiv AI

Aug 18

Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis

arXiv:2608. 16775v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly being deployed in cybersecurity operations to assist cybersecurity analysts with rapid decision-making against emerging threats.

By Reza Fayyazi, Michael Zuzak, Shanchieh Jay Yang

llms rag agents benchmarks

arXiv AI

Aug 18

LENS: In-Context Search via Latent Evidence Exploration over Dynamic Raw Documents

arXiv:2608. 16185v1 Announce Type: cross Abstract: LLM agents increasingly answer questions over dynamic raw-document collections, where files may change before preprocessing, and relevant evidence (spans, sections, pages, or tables) is query-dependent.

By Xingjun Wang, Gongsheng Li, Qi Fan, Yunlin Mao, Luyan Su, Yingda Chen

llms rag agents

arXiv AI

Aug 18

Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152

arXiv:2608. 16394v1 Announce Type: new Abstract: Generating regulation-compliant test scenarios is essential for validating safety-critical automotive systems, yet Large Language Models (LLMs) struggle to ground outputs in long, hierarchical standards.

By Vahid Zolfaghari, Nenad Petrovic, Andr\'E Schamschurko, Alois Knoll

llms rag safety

arXiv Machine Learning

Aug 18

FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens

arXiv:2506. 03096v2 Announce Type: replace-cross Abstract: Contrastive language-image pre-training aligns features of text-image pairs in a common latent space via distinct encoders for each modality.

By Christian Schlarmann, Francesco Croce, Nicolas Flammarion, Matthias Hein

llms rag diffusion multimodal

arXiv AI

Aug 18

An Agentic AI Framework with Large Language Models and Chain-of-Thought for UAV-Assisted Logistics Scheduling with Mobile Edge Computing

arXiv:2605. 13221v2 Announce Type: replace Abstract: In cloud manufacturing, unmanned aerial vehicles (UAVs) can support both product collection and mobile edge computing (MEC).

By Hanwen Zhang, Dusit Niyato, Wei Zhang, Xin Lou, Malcolm Yoke Hean Low

llms rag agents reinforcement-learning

arXiv Machine Learning

Aug 18

Learning symplectic model reduction based on an approximation theorem of symplectic embeddings

arXiv:2606. 04623v2 Announce Type: replace Abstract: High-dimensional Hamiltonian systems play a central role in many scientific and engineering disciplines, with dynamics that evolve on symplectic manifolds.

By Liyi Feng, Yifa Tang, Yulin Xie, Ruili Zhang, Aiqing Zhu

rag

arXiv Machine Learning

Aug 18

Continuous Quantum Feedback Control via Kraus-Parameterized Belief Reinforcement Learning

arXiv:2608. 15715v1 Announce Type: cross Abstract: Quantum feedback control requires acting on noisy continuous measurement records without direct access to the underlying quantum state.

By Priyanshi Singh, Krishna Bhatia

rag reinforcement-learning safety

arXiv AI

Aug 18

OGX: An Open-Source, Vendor-Neutral Generative AI Application Server

OGX (Open GenAI Stack) is an open‑source AI application server and Python library that implements the APIs of major frontier labs such as OpenAI, Anthropic, and Google, allowing developers to build agentic AI applications against a single API surface. It supports a wide range of inference providers, vector store backends, and safety backends, and includes a Kubernetes Operator for production deployment. OGX is used as the self‑hosted, model‑agnostic backend for AI‑powered developer tools like Claude Code, Codex CLI, OpenCode, and OpenHands, and has garnered significant community engagement with over 8,400 GitHub stars, 242 contributors, and 4,000 commits.

By Francisco Javier Arceo, S\'ebastien Han, Matthew Farrellee, Charlie Doern, Yuan Tang, Derek Higgins, Varsha Prasad Narsing, Gordon Sim, Sumanth Kamenani, Ben Browning, Raghotham Murthy

llms rag agents safety

arXiv AI

Aug 18

The Synthetic Web: Adversarially-Curated Mini-Internets for Diagnosing Epistemic Weaknesses of Language Agents

arXiv:2603. 00801v2 Announce Type: replace Abstract: Language agents increasingly act as web-enabled systems that search, browse, and synthesize information from diverse sources.

By Shrey Shah, Levent Ozgur

rag agents robotics benchmarks safety

arXiv AI

Aug 18

Domain-Specific Text Embedding Models for Entity Resolution

arXiv:2608. 16161v1 Announce Type: cross Abstract: General-purpose text embedding models are designed to capture semantic similarity but are not optimised for distinguishing entity records that represent the same real-world business or person.

By Khajesh Sapram, Srivardhani Raju, Kishore Konda

rag fine-tuning data-engineering

arXiv AI

Aug 18

RAGas: Retrieval-Augmented Gas Optimization for Smart Contracts with Continuous Knowledge Integration

arXiv:2608. 15857v1 Announce Type: new Abstract: Ethereum is now integral to mission-critical sectors, including finance, healthcare, and supply chain management.

By Yishun Wang, Wenjin Yi, Wenkai Li, Zongwei Li, Xiaoqi Li

llms rag

arXiv Machine Learning

Aug 18

A Unified Geometric Framework for Developmental Analysis of Spatial Transcriptomic Data

arXiv:2608. 15306v1 Announce Type: cross Abstract: High-throughput single-cell and spatial transcriptomic technologies provide high-resolution snapshots of heterogeneous cellular states, but their destructive nature prevents repeated measurements of the same cells over time.

By Mary Chriselda Antony Oliver, Kaitlyn Hohmeier, Tuyen Tran, Alejandra Castillo, Caroline Moosm\"uller, Shiying Li

rag efficiency

arXiv Machine Learning

Aug 18

Koopman early warning signals for bifurcation and rate-induced tipping

arXiv:2608. 14716v1 Announce Type: cross Abstract: Abrupt transitions in complex systems are often preceded by early warning signals.

By Juan Nathaniel, Carla Roesch, Derek DeSantis, Parvathi Kooloth, Hang Fan, Valerio Lucarini, Anastasia Romanou, Pierre Gentine

rag

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