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

Jun 10

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings

arXiv:2606. 10716v1 Announce Type: cross Abstract: Pre-trained language models (PLMs) have achieved strong performance in keyphrase extraction (KPE), largely due to their ability to generate rich contextualized representations.

By Roberto Mart\'inez-Cruz, Alvaro J. L\'opez-L\'opez, Jos\'e Portela

llms rag efficiency benchmarks

arXiv Machine Learning

Jun 10

Boosting Graph Robustness Against Backdoor Attacks: An Over-Similarity Perspective

arXiv:2502. 01272v3 Announce Type: replace Abstract: Graph Neural Networks (GNNs) have achieved notable success in tasks such as social and transportation networks.

By Chang Liu, Hai Huang, Yujie Xing, Xingquan Zuo

rag

arXiv Machine Learning

Jun 10

A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations

arXiv:2606. 09894v1 Announce Type: new Abstract: Across contemplative, philosophical, and psychological accounts, human consciousness is often described along a similar spectrum, ranging from reactive and self-focused patterns to more integrative and coherent ones.

By Sophie Zhao

llms rag safety

arXiv AI

Jun 10

One Token per Multimodal Evidence: Latent Memory for Resource-Constrained QA

arXiv:2606. 10572v1 Announce Type: new Abstract: External memory effectively grounds large language models (LLMs) and vision-language models (VLMs)-based question answering (QA) in relevant multimodal evidence.

By Zhi Zheng, Ziqiao Meng, Hao Luan, Wei Liu, Wee Sun Lee

llms rag nlp efficiency multimodal benchmarks

arXiv AI

Jun 10

Vision-Assisted Foundation Model for Solving Multi-Task Vehicle Routing Problems

arXiv:2606. 10431v1 Announce Type: cross Abstract: Multi-task vehicle routing problems play a critical role in enhancing efficiency across various industries and service sectors.

By Shuangchun Gui, Zhiguang Cao, Wen Song, Yew-Soon Ong

rag benchmarks

arXiv AI

Jun 10

From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG

arXiv:2605. 18271v2 Announce Type: replace-cross Abstract: With the rapid emergence of personal AI agents based on Large Language Models (LLMs), implementing them on-device has become essential for privacy and responsiveness.

By Changmin Lee, Jaemin Kim, Taesik Gong

llms rag agents benchmarks safety

arXiv AI

Jun 10

Local Is Not a Sufficient Privacy Boundary: Governing OS-Integrated On-Device AI

arXiv:2606. 10173v1 Announce Type: cross Abstract: As AI systems move into operating systems, privacy no longer turns only on whether a model runs locally.

By Jonghyun Chung, Sanket Badhe

llms rag safety

arXiv Machine Learning

Jun 10

In Defense of Cosine Similarity: Normalization Eliminates the Gauge Freedom

arXiv:2602. 19393v2 Announce Type: replace Abstract: Steck, Ekanadham, and Kallus [arXiv:2403.

By Taha Bouhsine

rag

arXiv AI

Jun 10

Assessment of Personality Dimensions Across Situations in Dyadic Role-Play Scenarios

arXiv:2507. 19137v2 Announce Type: replace-cross Abstract: Prior research indicates that users prefer assistive technologies whose personalities align with their own.

By Alice Zhang, Skanda Muralidhar, Daniel Gatica-Perez, Mathew Magimai-Doss

rag

arXiv AI

Jun 10

Tractogram foundation model

arXiv:2606. 09893v1 Announce Type: cross Abstract: Diffusion MRI (dMRI) tractography is the only noninvasive approach for mapping white-matter pathways in the living human brain.

By Guikun Chen, Yuqian Chen, Yijie Li, Yogesh Rathi, Nikos Makris, Fan Zhang, Wenguan Wang, Lauren J. O'Donnell

rag diffusion

arXiv AI

Jun 10

Embedding Hybrid Systems into Continuous Latent Vector Fields

arXiv:2606. 10596v1 Announce Type: cross Abstract: This work proves that an $n$-dimensional hybrid system can be embedded into an $m$-dimensional Euclidean space equipped with a continuous vector field on its embedded image whenever $m>2n$.

By Sangli Teng, Hang Liu, Koushil Sreenath

rag

arXiv AI

Jun 10

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune

arXiv:2606. 10392v1 Announce Type: new Abstract: Financial named-entity recognition (NER) is essential for translating unstructured financial reports and news into structured knowledge graphs.

By Wu Yuerong, Mingni Luo

llms rag fine-tuning

arXiv AI

Jun 10

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning

arXiv:2502. 07027v4 Announce Type: replace-cross Abstract: Molecular Relational Learning (MRL) is widely applied in natural sciences to predict relationships between molecular pairs by extracting structural features.

By Peiliang Zhang, Jingling Yuan, Qing Xie, Yongjun Zhu, Chao Che, Lin Li

rag benchmarks safety

arXiv Machine Learning

Jun 10

Blind denoising diffusion models and the blessings of dimensionality

arXiv:2602. 09639v2 Announce Type: replace Abstract: Denoising diffusion models (DDMs) are state-of-the-art methods for learning densities from data across numerous domains, yet many aspects of the training and sampling pipeline remain poorly understood.

By Zahra Kadkhodaie, Aram-Alexandre Pooladian, Sinho Chewi, Eero Simoncelli

rag diffusion benchmarks

arXiv Machine Learning

Jun 10

SPDM: Geometry-Modulated State Space Modeling with Manifold Constraints for Time Series Forecasting

arXiv:2606. 09917v1 Announce Type: new Abstract: Multivariate time series forecasting requires capturing the continuously evolving correlation structure among interacting variables.

By Xingsheng Chen, Siu-Ming Yiu

rag benchmarks

arXiv AI

Jun 10

RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning

arXiv:2606. 10254v1 Announce Type: new Abstract: While Large Language Models (LLMs) have achieved near-perfect performance in \emph{solving} high-school mathematics, their ability to \emph{evaluate} the diverse reasoning processes of real human students remains under-examined.

By Yiteng Mao, Kenan Xu, Yijia Lyu, Wenhao Li, Jianlong Chen, Xiangfeng Wang

llms rag benchmarks

arXiv Machine Learning

Jun 10

Entropy, Disagreement, and the Limits of Foundation Models in Genomics

arXiv:2604. 04287v2 Announce Type: replace Abstract: Foundation models in genomics have shown mixed success compared to their counterparts in natural language processing.

By Maxime Rochkoulets, Lovro Vr\v{c}ek, Mile \v{S}iki\'c

rag nlp

arXiv AI

Jun 10

Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization

arXiv:2606. 10902v1 Announce Type: cross Abstract: Subject Customization is a foundational task in modern image generation.

By Xuan Han, Yihao Zhao, Mingyu You

llms rag diffusion

arXiv AI

Jun 10

Non-Parametric Structural Priors for Geometry Theorem Prediction

arXiv:2603. 04852v2 Announce Type: replace Abstract: Multi-step theorem prediction is a central challenge in geometry problem solving.

By Junbo Zhao, Ting Zhang, Can Li, Wei He, Jingdong Wang, Hua Huang

llms rag benchmarks

arXiv Machine Learning

Jun 10

Robust Active Learning for Few-Shot Example Selection in Text-to-SQL

arXiv:2606. 10125v1 Announce Type: cross Abstract: Few-shot example retrieval is the dominant paradigm for grounding large language models (LLMs) in domain-specific text-to-SQL systems.

By Arash Pourhabib

llms rag data-engineering

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