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

Jul 3

PreScience: A Dataset and Benchmark for Scientific Forecasting

arXiv:2602. 20459v2 Announce Type: replace Abstract: Can AI systems trained on the existing scientific record forecast the advances that will follow?

By Anirudh Ajith, Amanpreet Singh, Jay DeYoung, Nadav Kunievsky, Austin C. Kozlowski, Oyvind Tafjord, James Evans, Daniel S. Weld, Tom Hope, Doug Downey

llms rag agents benchmarks

arXiv AI

Jul 3

Neuron-Aware Active Few-Shot Learning for LLMs

arXiv:2607. 02423v1 Announce Type: cross Abstract: Active Few-Shot Learning (AFSL) adapts LLMs to specialized domains by identifying the most valuable unlabeled samples for annotation and use as few-shot demonstrations, effectively reducing human annotation costs while promoting high performance.

By Zhuowei Chen, Liwei Chen, Christian Schunn, Raquel Coelho, Xiang Lorraine Li

llms rag nlp benchmarks

arXiv AI

Jul 3

VisionAId: An Offline-First Multimodal Android Assistant for People with Visual Impairment, Featuring Personalized Object Retrieval

arXiv:2607. 02371v1 Announce Type: cross Abstract: Over 285 million people worldwide live with a visual impairment, for whom everyday tasks such as avoiding obstacles, locating personal belongings, recognizing familiar faces, or handling cash remain persistent obstacles to personal autonomy.

By Cristian-Gabriel Florea, Stelian Sp\^inu

llms rag computer-vision efficiency multimodal

arXiv AI

Jul 3

RadiomicNet: A Hybrid Radiomics-Guided Lightweight Architecture for Interpretable Medical Image Segmentation

arXiv:2607. 02185v1 Announce Type: cross Abstract: Deep learning has achieved remarkable performance in medical image segmentation, yet it suffers from critical limitations: mathematical intractability, substantial parameter requirements, and lack of clinical interpretability.

By Mohammad Amanour Rahman

rag computer-vision benchmarks safety

arXiv AI

Jul 3

Assessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias

arXiv:2607. 01973v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) are increasingly applied in medical tasks such as pathology description, report generation, and visual question answering.

By Sofiane Ouaari, Kevin Vorwalder, Nico Pfeifer

llms rag nlp multimodal benchmarks safety

arXiv AI

Jul 3

ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection

arXiv:2607. 01759v1 Announce Type: cross Abstract: Open-vocabulary object detection aims to localize and classify objects beyond the fixed set of categories seen dur ing training.

By Jae-Ryung Hong, Ho-Joong Kim, Seong-Whan Lee

rag computer-vision multimodal

arXiv AI

Jul 3

ContextNest: Verifiable Context Governance for Autonomous AI Agent

arXiv:2607. 02116v1 Announce Type: new Abstract: Autonomous AI agents increasingly depend on external knowledge stores, yet most retrieval pipelines provide relevance without durable guarantees of provenance, version identity, integrity, traceability, or point-in-time reconstruction.

By Misha Sulpovar (PromptOwl, LLC), Benn R. Konsynski (Goizueta Business School, Emory University), Qaish Kanchwala (IBM Research), Gabe Goodhart (IBM Research)

rag agents

arXiv AI

Jul 3

Traceable Fault Diagnosis for Battery Energy Storage Systems via Retrieval-Augmented Multi-Agent O&M Assistant

arXiv:2607. 01992v1 Announce Type: new Abstract: Large-scale battery energy storage systems (BESSs) require O&M decisions that combine alarms, cell-level measurements, device topology, diagnostic tables, historical cases, and maintenance documents.

By Jiangdi Ru, Bing Li, Yage Huang, Ding Wang, Keru Hua

rag agents

arXiv AI

Jul 3

MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support

arXiv:2607. 01814v1 Announce Type: new Abstract: Traditional Chinese Medicine (TCM) diagnosis, particularly through tongue inspection, faces persistent challenges in subjectivity and reproducibility.

By Lihui Luo, Joongwon Chae, Ziyan Chen, Yang Liu, Siyi Cheng, Weihan Gao, Zelin Zeng, Xiaoming Yin, Samaneh Beheshti Kashi, Dongmei Yu, Lian Zhang, Jing Sui, Zeming Liang, Jiansong Ji, Peter E. Lobie, Peiwu Qin

llms rag computer-vision fine-tuning multimodal benchmarks

arXiv AI

Jul 3

SPARCLE: SPeaker-aware Aligned Representations via Contrastive Language Embeddings

arXiv:2607. 01238v1 Announce Type: cross Abstract: Recent advances in speech synthesis have shifted from phoneme representations to direct grapheme modeling.

By Priyam Mazumdar, Yurii Halychanskyi, Steven Guo, Mark Hasegawa-Johnson, Volodymyr Kindratenko

rag multimodal

arXiv Machine Learning

Jul 3

Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score

arXiv:2607. 01527v1 Announce Type: cross Abstract: Room embeddings derived from reverberant speech are often unreliable: speech content and recording degradation can alter the representation even when speaker, room, and source-receiver geometry remain unchanged, degrading downstream task performance.

By Yang Xiang, Philipp G\"otz, Emanu\"el A. P. Habets, Andreas Walther, Wenwu Wang, Philip J. B. Jackson

rag diffusion safety

arXiv AI

Jul 3

SUNTA: Hierarchical Video Prediction with Surprise-based Chunking

arXiv:2607. 02087v1 Announce Type: new Abstract: Hierarchical state-space models (HSSMs) offer a promising approach to long-horizon prediction by segmenting sequences into temporal chunks.

By Tomoshi Iiyama, Masahiro Suzuki, Yutaka Matsuo

rag

arXiv AI

Jul 3

Playing 20 Question Game with Policy-Based Reinforcement Learning

arXiv:1808. 07645v5 Announce Type: replace-cross Abstract: The 20 Questions (Q20) game is a well known game which encourages deductive reasoning and creativity.

By Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen

rag agents reinforcement-learning

arXiv Machine Learning

Jul 3

Bringing Agentic Search to Earth Observation Data Discovery

arXiv:2607. 02387v1 Announce Type: cross Abstract: NASA and its data centers hold thousands of geoscience datasets and tools like Worldview, Giovanni, the Science Discovery Engine, and Harmony.

By Minghan Yu, Youran Sun, Chugang Yi, Yixin Wen, Haizhao Yang

llms rag agents fine-tuning benchmarks

arXiv Machine Learning

Jul 3

Fourier Preconditioning for Neural Feature Learning

arXiv:2607. 02199v1 Announce Type: cross Abstract: Mutual information (MI)-inspired feature learning techniques are capable of generating low-dimensional embeddings that retain nonlinear dependence structures, but direct estimations of MI suffer from noisy probability distribution estimates in the low-data regime.

By Preston Pitzer, Anish Pradhan, Harpreet S. Dhillon

rag

arXiv AI

Jul 3

DiPS: Dialogue Policy Selection for High-Stakes Persuasion Agents

arXiv:2607. 01557v1 Announce Type: cross Abstract: Large Language Models (LLMs) often struggle with persuasion in high-stakes scenarios.

By Tianyi Zhang, Mousumi Das, Abrar Anwar, Jesse Thomason, David Traum

llms rag agents reinforcement-learning

arXiv AI

Jul 3

Pmeta-TLA: Backdoor Attacks for Speech Classification Models via Meta-Learning with Timbre Leakage Attack

arXiv:2607. 01702v1 Announce Type: cross Abstract: Recently, speech classification methods have gained widespread adoption in intelligent gadgets.

By Yueming Huang, Wenhan Yao, Fen Xiao, Xiarun Chen, Weiping Wen

rag

arXiv AI

Jul 3

Scaling Laws for Grid-Based Approximate Nearest Neighbor Search in High Dimensions

arXiv:2607. 01283v1 Announce Type: cross Abstract: Grid-based approaches to approximate nearest neighbor (ANN) search have been absent from modern scaling analyses.

By Matthew J Liu, Wei Hang Zheng, Vidhan Purohit, Siqi Xie, Chieh-En Li, Jerry Li, Noah Flynn

llms rag efficiency

arXiv AI

Jul 3

ChemGraph-XANES: An Agentic Framework for XANES Simulation and Curation

arXiv:2604. 16205v2 Announce Type: replace-cross Abstract: Computational X-ray absorption near-edge structure (XANES) is widely used to interpret local coordination environments, oxidation states, and electronic structure in chemically complex systems.

By Vitor F. Grizzi, Thang Duc Pham, Luke N. Pretzie, Jiayi Xu, Murat Keceli, Cong Liu

llms rag agents

arXiv AI

Jul 3

SABER: A Semantic-Aligned Brain Network Analysis Framework via Multi-scale Hypergraphs

arXiv:2607. 01901v1 Announce Type: cross Abstract: Effective brain disease diagnosis requires the synergy of brain connectivity patterns and high-level semantic knowledge.

By Yidan Xu, Xiangmin Han, Rundong Xue, Huihui Ye

llms rag benchmarks safety

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