Natural language processing

Classical and neural NLP: translation, question answering, tokenization and the evaluation of language understanding.

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arXiv AI

Jun 16

ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering

arXiv:2606. 14772v1 Announce Type: cross Abstract: Aerial Embodied Question Answering (EQA) requires Unmanned Aerial Vehicles (UAVs) to actively perceive the environment and answer natural language questions.

By Wenhao Lu, Zhengqiu Zhu, Xiaofeng Wang, Xiaoran Zhang, Yatai Ji, Yong Zhao, Yue Hu, Yingzhen Nie, Jinlong Zhu, Zheng Zhu

diffusion nlp robotics multimodal benchmarks

arXiv Machine Learning

Jun 16

PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift

arXiv:2606. 15964v1 Announce Type: cross Abstract: Foundation models are now used in settings where the prompts they receive can change quickly.

By Jeffery Opoku, David Banahene

nlp benchmarks safety

arXiv AI

Jun 16

PAL-Bench: Evidence-Grounded Profile Reconstruction from Longitudinal Personal Albums

arXiv:2606. 16175v1 Announce Type: new Abstract: Longitudinal personal albums are weak-schema multimodal databases: noisy perceptual records whose key facts require joins across faces, text, timestamps, locations, and repeated events.

By Qiwei Yan, Zhiqiang Yuan, Zexi Jia, Nanxing Hu, Kailin Lyu, Jie Zhou, Jinchao Zhang

agents nlp multimodal benchmarks safety

arXiv AI

Jun 16

A Self Consistency Based Reranking for Narrative Question Answering

arXiv:2606. 15741v1 Announce Type: cross Abstract: Narrative question answering (NQA) is a challenging task in natural language processing that requires models to understand long textual contexts, capture relationships across events, and generate coherent responses.

By Molham Mohamed, Ali Hamdi

llms rag nlp fine-tuning

arXiv AI

Jun 16

Measuring Whether LLM Tutors Teach or Solve: A Diagnostic for Educational Impact

arXiv:2606. 16206v1 Announce Type: new Abstract: Large language models are increasingly proposed as educational tutors, yet stronger task-solving ability does not necessarily imply stronger learning support.

By Junyi Yao, Zihao Zheng, Baichuan Li

llms nlp benchmarks

arXiv AI

Jun 16

Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier

arXiv:2606. 16811v1 Announce Type: new Abstract: For the development of Large language models (LLMs), recent approaches to generating pseudo intermediate reasoning have shown remarkable progress.

By Keizo Kato, Chenhui Chu, Yugo Murawaki, Sado Kurohashi

llms agents nlp fine-tuning benchmarks

arXiv AI

Jun 16

Integrating Multi-Label Classification and Generative AI for Scalable Analysis of User Feedback

arXiv:2601. 23018v1 Announce Type: cross Abstract: In highly competitive software markets, user experience (UX) evaluation is crucial for ensuring software quality and fostering long-term product success.

By Sandra Loop, Erik Bertram, Sebastian Juhl, Martin Schrepp

nlp

arXiv AI

Jun 16

Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering

arXiv:2606. 15419v1 Announce Type: cross Abstract: Objective: To enhance the accuracy, interpretability, and robustness of large language models (LLMs) in medical question answering (MedQA).

By Zaifu Zhan, Shuang Zhou, Rui Zhang

llms agents nlp benchmarks safety

arXiv AI

Jun 16

MAF: Multimodal Adaptive Few-shot Prompting for Sentiment Analysis with MLLMs

arXiv:2606. 15694v1 Announce Type: cross Abstract: Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in understanding complex multimodal content.

By Hangling Xie

llms nlp multimodal benchmarks

arXiv AI

Jun 16

MAGE-RAG: Multigranular Adaptive Graph Evidence for Agentic Multimodal RAG in Long-Document QA

arXiv:2606. 15906v1 Announce Type: cross Abstract: Long-document multimodal question answering requires a system to locate sparse evidence in long PDFs and integrate clues from text, tables, images, charts, and complex layouts.

By Yilong Zuo, Xunkai Li, Jing Yuan, Qiangqiang Dai, Hongchao Qin, Ronghua Li

rag agents nlp multimodal

arXiv Machine Learning

Jun 16

Model Stealing Through the Lens of Model Multiplicity

arXiv:2606. 15493v1 Announce Type: new Abstract: Model stealing attacks, where adversaries create high-fidelity surrogate models, are a significant threat to the intellectual property of machine learning services.

By Eliott Baltz, Satoshi Hara, Ulrich A\"ivodji

nlp safety

arXiv Machine Learning

Jun 16

MIRAGE: Auditing Anti-Muslim Bias in Frontier LLMs Across Reasoning, Agentic, and Time-Coupled Conditions

arXiv:2606. 16562v1 Announce Type: new Abstract: Five years after the discovery of persistent anti-Muslim bias in large language models, most evaluations remain confined to single-turn prompt completion, a setting that no longer reflects how frontier LLMs are deployed.

By Noor Islam S. Mohammad, Tamim Sheikh

llms agents nlp benchmarks safety

arXiv Machine Learning

Jun 16

Emergent retokenization symmetry in large language models: phenomenology and applications

arXiv:2606. 15521v1 Announce Type: cross Abstract: Tokenization introduces representational redundancy: under a fixed token vocabulary, every byte string admits many valid token encodings, or segmentations, that decode to the same surface string.

By Kanishk Jain, Matthew Day, Tankut Can

llms computer-vision nlp benchmarks

arXiv AI

Jun 16

Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing

arXiv:2606. 16093v1 Announce Type: cross Abstract: Modeling long-range dependencies remains a central challenge in natural language processing.

By Kuzey Torlak, H\"useyin Arda Arslan, An{\i}l Dervi\c{s}o\u{g}lu, Beyza Nur Deniz, Onur Boyar

llms nlp efficiency

arXiv AI

Jun 16

Koshur Diacritizer: A Byte-Level Sequence-to-Sequence Model for Kashmiri Diacritic Restoration

arXiv:2606. 15883v1 Announce Type: cross Abstract: Kashmiri, an Indo-Aryan language written in a modified Perso-Arabic script, frequently omits diacritic marks in digital text, creating ambiguity and challenging downstream NLP applications.

By Haq Nawaz Malik, Nahfid Nissar, Faizan Iqbal

nlp safety

arXiv AI

Jun 16

Compositional Reasoning Depth Predicts Clinical AI Failure: Empirical Evidence Consistent with Transformer Compositionality Limits in Electronic Health Record Question Answering

arXiv:2606. 16890v1 Announce Type: cross Abstract: Aggregate accuracy benchmarks conceal a systematic structure in how large language models fail at electronic health record (EHR) question answering: questions requiring more inferential steps produce disproportionately more errors.

By Sanjay Basu

llms nlp benchmarks

arXiv AI

Jun 16

Binary Tracking for Spatial QA and Navigation with Open Vision-Language Models

arXiv:2606. 16902v1 Announce Type: cross Abstract: This work addresses spatial question answering for service robots traversing long egocentric routes.

By Dongbin Na, Chanwoo Kim, Soonbin Rho, Giyun Choi, Gangbok Lee, Dooyoung Hong

llms rag agents nlp robotics multimodal benchmarks

arXiv Machine Learning

Jun 15

Learning Variable-Length Tokenization for Generative Recommendation

arXiv:2605. 17779v2 Announce Type: replace Abstract: Generative recommendation reformulates recommendation as next-token prediction over discrete semantic identifiers (IDs).

By Minhao Wang, Bowen Wu, Wei Zhang

nlp efficiency benchmarks

arXiv AI

Jun 15

SpheriCity: Designing Trustworthy Conversational AI for Sustainability Decision Support

arXiv:2606. 13854v1 Announce Type: cross Abstract: We present SpheriCity, an expert-grounded conversational prototype designed to support trustworthy knowledge sensemaking from sustainability reports.

By Ahmed Qayyum, Madison Werner, Kathryn Youngblood, Jenna R. Jambeck, Tahiya Chowdhury

llms agents nlp safety

arXiv AI

Jun 15

Moonlight in Latent Space: Chirality and Structural Correspondence Between Beethoven's Op. 27 No. 2 and Machine Learning Mechanisms

arXiv:2606. 14612v1 Announce Type: cross Abstract: We show that the three movements of Beethoven's "Moonlight Sonata" (Op.

By Chen Ying Claude, Zhihan Luo

rag diffusion nlp efficiency

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