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 Computation and Language

Oct 15

Scaling Personality Control in LLMs with Big Five Scaler Prompts

arXiv:2508.06149v2 Announce Type: replace Abstract: We present Big5-Scaler, a prompt-based framework for conditioning large language models (LLMs) with controllable Big Five personality traits. By em...

By Gunhee Cho, Yun-Gyung Cheong

llms rag agents

arXiv Computation and Language

Oct 15

Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG

arXiv:2509.21193v2 Announce Type: replace Abstract: Large language models (LLMs) have recently shown strong progress on scientific reasoning, yet two major bottlenecks remain. First, explicit retriev...

By Xiangru Tang, Wanghan Xu, Yujie Wang, Zijie Guo, Daniel Shao, Jiapeng Chen, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Wenlong Zhang, Lei Bai, Zhenfei Yin, Philip Torr, Hanrui Wang, Di Jin

llms rag agents

arXiv Computation and Language

Oct 15

Semantic Communities and Boundary-Spanning Lyrics in K-pop: A Graph-Based Unsupervised Analysis

arXiv:2602.12881v2 Announce Type: replace-cross Abstract: We examine how lyric representation shapes computational similarity using four 384-dimensional multilingual MiniLM representations of 7,891 K...

By Oktay Karaku\c{s}, Can Ey\"upo\u{g}lu

rag

arXiv Computer Vision

Oct 15

MMKG-R1: Constructing Multimodal Knowledge Graphs via Reinforcement Learning

arXiv:2610.19341v1 Announce Type: new Abstract: Multimodal knowledge graphs (MMKGs) organize information across different modalities to support multimodal Graph Retrieval-Augmented Generation (RAG),...

By Zongyu Wu, Yilong Wang, Xiaochen Wang, Minhua Lin, Yuan Zhong, Fenglong Ma, Xiang Zhang, Suhang Wang

llms rag reinforcement-learning multimodal

arXiv Computer Vision

Oct 15

Quantifying privacy risks in foundation model representations of brain MRI

arXiv:2610.20494v1 Announce Type: new Abstract: Pretrained representations are increasingly used to share and reuse information from medical images without exposing the original scans, but it is uncl...

By Imen Bajar, H\'eber Hwang Arcolezi, Antoine Boutet, Carole Frindel, Mohamed Maouche

rag safety

arXiv Computer Vision

Oct 15

DarKnight: Retrieval-Guided Agentic Framework for Breaking Dark Web CAPTCHA Gates

arXiv:2610.19830v1 Announce Type: cross Abstract: Cyber Threat Intelligence (CTI) investigators who monitor dark web marketplaces for leaked credentials and breach listings must pass the diverse CAPT...

By Binghui Wu, Yeo Zi Yi, Darren Tan, Manit Baser, Levente Csikor, Dinil Mon Divakaran

llms rag agents fine-tuning multimodal

arXiv Computer Vision

Oct 15

Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution

arXiv:2610.19495v1 Announce Type: cross Abstract: Retrieving useful context for a robot requires matching its task, execution stage, and the continuation that should follow. We introduce Robota-Embed...

By Yunze Liu, Jing Wang, Shenrui Wu, Wenkun He, Guanqi Zhan, Xianzheng Ma, Junyu Chen, Wenhang Ge, Haozhan Tang, Yuchao Gu, Zhuoyang Zhang, Zekai Wang, Dantong Niu, Zhen Dong, Yuke Zhu, Trevor Darrell, Linxi "Jim" Fan, Song Han, Han Cai

llms rag robotics multimodal

arXiv Computation and Language

Oct 15

More Than Seeing: Vision as Scalable Anchors in Native Multimodal Pre-Training

arXiv:2610.19443v1 Announce Type: new Abstract: Native multimodal pre-training trains a single model from scratch on text and multimodal data, enabling it to understand both language and visual input...

By Haoyuan Wu, Aoqi Wu, Jiani Hu, Bei Yu

rag multimodal

arXiv AI

Oct 15

Frustratingly Easy Agentic RAG via Portable Skills: A Case Study in Customer Support

arXiv:2610.14428v1 Announce Type: new Abstract: Enterprise workflow automation typically requires retrieving a complete and accurate set of relevant information from large operational document corpor...

By Istok Bako, Bonan Min, Tiffany Shao, Claire Cheng, Yashar Mehdad

llms rag agents

arXiv AI

Oct 15

Agent-UCT: Upper Confidence Bounds Applied to Trees for Cost-Aware Agentic Workflow Optimization

arXiv:2607.24162v3 Announce Type: replace Abstract: Workflow search pays for complete quality observations, whose execution cost changes as reusable prefixes accumulate. AgentUCT uses an economic mod...

By Yang Li, Hai Liu, Dian Shao, Yu Wang, Xiyu Chen, Di Wan, Sergey Volkov, Bozhi Wang, Ziyu Sun, Sihang Liu, Ye Luo, Xiaowei Zhang

rag agents

arXiv AI

Oct 15

What Counts as the Same Task? Executable Contracts for Robustness Evaluation of Tool-Using Agents

arXiv:2610.14477v1 Announce Type: cross Abstract: Robustness tests for tool-using agents often change the agent's environment, for example by hiding a hostile note in an invoice, and then judge the a...

By Shaikh Akib Shahriyar, MD. Akil Raihan Iftee, Armon Barton, Matthew Wright

llms rag agents benchmarks

arXiv Machine Learning

Oct 15

Retrieval Over Training: Similarity search-based Model Selection for Time Series Anomaly Detection

arXiv:2610.20243v1 Announce Type: new Abstract: Anomaly detection is a fundamental task for time-series analytics, with important implications for the downstream performance of many applications. Des...

By Christos Panourgias, Roberto Stanzione, Adrien Petralia, Themis Palpanas, Paul Boniol

rag benchmarks

arXiv AI

Oct 15

Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions

arXiv:2610.15091v1 Announce Type: cross Abstract: Argument structures represent how individual arguments interact within a discourse. However, leveraging these structures to infer meaningful knowledg...

By Siddharth Bhargava, Sara Tonelli, Patricia Mart\'in-Rodilla

llms rag

arXiv Machine Learning

Oct 15

Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments

arXiv:2610.19104v1 Announce Type: cross Abstract: Learning an individualized treatment rule (ITR) with many treatments requires estimating treatment-specific effects from limited observations per arm...

By Daixi Huang, Yixin Yuan, Yifan Dai, Yufeng Liu

rag reinforcement-learning

arXiv AI

Oct 15

The Value of Being Wrong: Self-Mined Visual In-Context Learning from Errors

arXiv:2610.16977v1 Announce Type: cross Abstract: Visual in-context learning (ICL) enables vision-language models (VLMs) to adapt at test time via demonstration examples, but its effectiveness depend...

By Shu Zhao, Tan Yu

llms rag nlp multimodal benchmarks

arXiv AI

Oct 15

Graph-free Retrieval with Graph-Modified Embeddings

arXiv:2610.18410v1 Announce Type: cross Abstract: Dense vector retrieval can miss evidence connected through intermediate entities, while direct graph retrieval requires access to the graph at query...

By Federica Santi (Cognee Inc), Vasilije Markovi\'{c} (Cognee Inc), Daniel Scott (Cognee Inc), Lazar Obradovi\'{c} (Cognee Inc)

rag benchmarks

arXiv AI

Oct 15

A Node Embedding Framework for Model-Centric Conformance Checking in Process Mining

arXiv:2610.17702v1 Announce Type: new Abstract: Evaluating the quality of process models discovered from event logs is a fundamental challenge in process mining. Traditional evaluation relies on conf...

By Mostafa Abbasi, Homayoun Najjaran

rag safety

arXiv AI

Oct 15

Unlocking Token Rewards via Training-Free Reward Attribution

arXiv:2610.18704v1 Announce Type: new Abstract: In this paper, we propose an extremely efficient, training-free method to extract token-level reward signals directly from an existing deep reward mode...

By Sitong Wu, Haoru Tan, Bin Xia, Xichen Zhang, Jingyao Li, Shaofeng Zhang, Xiaojuan Qi, Bei Yu, Jiaya Jia

llms rag reinforcement-learning benchmarks

arXiv AI

Oct 15

PLDiv: Measuring Dataset Diversity and Semantic Collapse via Persistence Landscapes

arXiv:2610.14031v1 Announce Type: cross Abstract: Modern data pipelines increasingly combine human-created and human-curated data with AI-generated data for model training and evaluation. As datasets...

By Yang Ba, Michelle V. Mancenido, Rong Pan

rag

arXiv AI

Oct 15

VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval

arXiv:2610.17057v1 Announce Type: new Abstract: Vision-based document retrieval has improved rapidly, but current evaluation settings still emphasize short documents and single relevant pages. This l...

By Simon Ott, Yufan Chen, Ruiping Liu, Junwei Zheng, Jiale Wei, Di Wen, Kunyu Peng, Jiaming Zhang, Rainer Stiefelhagen

rag benchmarks

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