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

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

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 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 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

arXiv AI

Jun 10

Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding

arXiv:2606. 10892v1 Announce Type: cross Abstract: To showcase products, merchants often incur substantial costs creating high-quality display images.

By Yihao Zhao, Xuan Han, Bin He, Mingyu You

rag diffusion safety

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

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arXiv AI

Jun 10

Decoupling Thought from Speech: Knowledge-Grounded Counterfactual Reasoning for Resilient Multi-Agent Argumentation

arXiv:2606. 10475v1 Announce Type: cross Abstract: Multi-agent debate frameworks have been shown to improve large language model performance in convergent tasks, but they are currently optimized in a way that heavily favors final output accuracy rather than stability of the process.

By Jakub Mas{\l}owski, Jaros{\l}aw A. Chudziak

llms rag agents benchmarks safety

arXiv AI

Jun 10

A Source Domain is All You Need: Source-Only Cross-OS Transfer Learning for APT Anomaly Detection via Semantic Alignment and Optimal Transport

arXiv:2606. 10216v1 Announce Type: cross Abstract: Advanced Persistent Threats (APTs) are stealthy, multi-stage cyberattacks whose detection is difficult due to scarce labeled traces, severe class imbalance, and the challenge of generating realistic malicious behavior.

By Sidahmed Benabderrahmanea, Petko Valtchev, James Cheney, Talal Rahwan

llms rag fine-tuning safety

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

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

Rotate2Think: Geometric Priming via Orthogonal Rotation to Improve Language Model Reasoning

arXiv:2606. 09873v1 Announce Type: cross Abstract: Reasoning models achieve strong performance on challenging tasks by generating explicit intermediate reasoning traces before producing a final answer.

By Aditya Sharma, Christopher J. Pal, Amal Zouaq

llms rag multimodal benchmarks

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

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arXiv Machine Learning

Jun 10

When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms

arXiv:2606. 10868v1 Announce Type: new Abstract: Long-horizon autoregressive forecasting of oscillatory physical signals, such as seismograms, gravitational-wave strain, and similar wavefields is limited by error accumulation: as a causal model is fed its own outputs over hundreds of steps, small per-step errors compound into phase drift that pointwise metrics fail to detect.

By Waleed Esmail, Stuart Russell, Jana Klinge, Alexander Kappes, Christine Thomas

rag benchmarks

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

Mining Electronic Health Records to Investigate Effectiveness of Ensemble Deep Clustering

arXiv:2604. 07085v2 Announce Type: replace Abstract: In electronic health records (EHRs), clustering patients and distinguishing disease subtypes are key tasks to elucidate pathophysiology and aid clinical decision-making.

By Manar D. Samad, Yina Hou, Shrabani Ghosh

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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

MetaPlate: Counterfactual-Guided RAG-LLM Tool for Personalized Food Recommendation and Hyperglycemia Prevention

arXiv:2606. 10120v1 Announce Type: cross Abstract: Postprandial hyperglycemia is a key risk factor for metabolic disorders; however, existing dietary guidance is often static, impractical, and insufficiently personalized, providing recommendations that are difficult to follow or not impactful.

By Asiful Arefeen, Carol Johnston, Hassan Ghasemzadeh

llms rag multimodal safety

arXiv AI

Jun 10

Whisfusion: Parallel ASR Decoding with Masked Diffusion

arXiv:2508. 07048v2 Announce Type: replace-cross Abstract: Autoregressive (AR) encoder-decoder models dominate high-quality multilingual ASR, but their left-to-right decoders make inference latency scale with transcript length.

By Taeyoun Kwon, Junhyuk Ahn, Taegeun Yun, Heeju Jwa, Yoonchae Choi, Siwon Park, Jongchan Kim, Hyungon Ryu, Hyuk-Jae Lee, Nam-Joon Kim

llms rag diffusion efficiency multimodal benchmarks

arXiv AI

Jun 10

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA

arXiv:2606. 11117v1 Announce Type: cross Abstract: Designing FPGA-based accelerators for modern artificial intelligence workloads requires exploring a large and complex hardware design space that involves architectural parameters, data flow strategies, and memory hierarchies, making the process very time consuming.

By Vinamra Sharma, Xingjian Fu, Jude Haris, Jos\'e Cano

llms rag agents

arXiv AI

Jun 10

HiGR: Industrial-Scale Hierarchical Generative Slate Recommendation Framework in Tencent

arXiv:2512. 24787v3 Announce Type: replace-cross Abstract: Slate recommendation, which presents users with a ranked item list in a single display, is ubiquitous across mainstream online platforms.

By Yunsheng Pang, Zijian Liu, Yudong Li, Shaojie Zhu, Zijian Luo, Chenyun Yu, Sikai Wu, Shichen Shen, Cong Xu, Bin Wang, Kai Jiang, Chengxiang Zhuo, Zang Li

rag efficiency benchmarks safety

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