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natural language processing

9,568 papers

#artificial intelligence Preprint Open access Oct 2026

Agent Memory as Recommendation: Recommender-System Design for Long-Term Memory of LLM Agents

Large language model (LLM) agents that serve users across many sessions must choose, for every request, the few stored memories that enter a limited context window. This choice largely decides whether the agent answers correctly, and it runs on every request at Web scale. This selection faces three challenges: a large...

Xinyu Zhang, Weiwei Sun · 0 citations
#artificial intelligence Preprint Open access Oct 2026

AdaTutor: Adaptive Tutoring through Pedagogical Strategy Selection

Effective tutoring requires determining not only what information to provide, but also which form of assistance to deliver. A tutor may address the same student error using various pedagogical strategies, adapting its approach as the interaction progresses. We introduce Comparative Pedagogical Supervision (CPS), a trai...

Rajeev Bhatt Ambati, Shashank Srivastava, Snigdha Chaturvedi · 0 citations
#machine learning Preprint Open access Oct 2026

Cross-Loop Query Handoff: How Later Loops Redirect Two-Hop Retrieval in the Ouro Looped Language Models

How do later loops in a pretrained looped language model repair two-hop retrieval? We study Ouro-1.4B and Ouro-2.6B by transplanting attention queries between loops at the same layer, head and final prompt position. On synthetic in-context questions, injecting the layer-indexed collection of loop-3 queries throughout l...

Ziyu Mu, Zehua Wang · 0 citations
#artificial intelligence Preprint Oct 2026

One Mean Log-Mel Vector per Phoneme: Simple and Fast Text Injection for Speech Recognition

Text injection trains speech recognition models on unpaired text alongside paired audio. We feed the speech encoder synthetic input derived from text so the whole model learns from it. Previously, we synthesized this input with a frozen text-to-speech (TTS) model. Here, a simple lookup table replaces the TTS model: a m...

Albert Zeyer, Davyd Naveriani, Dorian Koch et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Wave Is All You Need: A Quantum Language Model Based on Fully Connected Quantum Boltzmann Machine

This work proposes a self-attention mechanism based on the fully connected quantum Boltzmann machine (FC-QBM), and further constructs a fully connected quantum Boltzmann machine language model (FC-QBM-LM) using the mechanism as the core engine. By performing unitary evolution on semantic quantum states, the mechanism i...

Jun Liu · 0 citations
#artificial intelligence Preprint Oct 2026

What Effort Level Should I Choose? On the Economics of Reasoning Effort in LLM Agents

Generative models increasingly expose a reasoning effort setting that lets users scale inference-time compute, trading higher cost for potentially improved performance. Users must choose an effort level before knowing whether extra reasoning will help, and even a successful run does not reveal whether the effort purcha...

Kaiser Sun, Yongchan Kwon, Zainudin Hasan et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Toward Neuroadaptive Communication Interfaces: A Framework for Personalized Speech and Language Support

Speech and language technologies have expanded access to communication, but the support they provide is often fixed. The same linguistic or visual aid may help one user and hinder another, or become less useful as task demands change. This project proposes a framework for adapting language presentation to individual ab...

Carlos Bruno, Luis Ricardo Santos · 0 citations
#natural language process... Preprint Open access Oct 2026

A Domain-Aware Pipeline for Structured Extraction and Retrieval-Augmented Question Answering over arXiv Superconductivity Literature

Scientific literature in materials physics is growing faster than researchers can manually inspect it, yet most retrieval tools rely on keyword matching or generic question answering that ignores domain-specific structure in PDF files. This paper presents an end-to-end pipeline that transforms arXiv superconductivity p...

Ivan Iorsh, Aleksandr Kapitonov, Ivan Filianin et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

AndroidFlux: Evaluating and Reward Modeling Failure Recovery Capabilities in Mobile Use Multimodal Agents

Mobile-use multimodal agents are typically evaluated by task success from a clean initial state, which does not isolate their ability to recover from intermediate errors. Because mobile environments change dynamically, a general mobile-use agent must complete tasks robustly even from unexpected states and in unseen env...

Gyubeum Lim, Yemo Koo, Ghunwoo Jang et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Whether or Where? Tail Calibration Signals Finite-Budget Reward Hacking in Best-of-N Selection

Best-of-N (BoN) inference returns the candidate with the highest proxy reward, so a larger $N$ tests the proxy's extreme tail more than its average ranking quality. We show that the exact BoN value is a Beta-weighted integral of conditional true reward over within-prompt score quantiles. It follows that BoN depends on...

Cheng Gui, Yihua Shao, Lei Li et al. · 0 citations
#machine learning Preprint Open access Oct 2026

Birth, Death and Diff: Insertion-Based Sequence Generation with Corrections

Insertion-based masked diffusion models enable flexible-length, parallel generation by interleaving mask insertion with token unmasking. However, because their generation decisions are irreversible, aggressive parallel decoding can introduce errors that subsequent steps cannot correct, necessitating conservative decodi...

Durga Prasad Maram, Dhruvesh Patel, Tahira Naseem et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Automated, auditable dating of the Babylonian Astronomical Diaries with language models and astronomical tools

The Babylonian Astronomical Diaries record the sky over nearly six centuries. Many tablets are broken and have lost their date formula. Experts dated many of them one tablet at a time in the standard edition, Astronomical Diaries and Related Texts from Babylonia (ADART). They used the recorded sky and other evidence, s...

Lucas Carrit Delgado Pinheiro, Yuan-Sen Ting, Jon Clindaniel et al. · 0 citations

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Microsoft Research Blog Oct 22, 2026

Flint-interactive: A language for creating interactive data visualizations

Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.

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