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natural language processing

9,568 papers

#natural language process... Preprint Open access Oct 2026

Perturbation, Not Provenance: Why Activation Steering Does Not Make a Robust Text Watermark

Linear directions in the activation space of large language models causally and universally influence model behavior. This suggests that they might serve as a basis for a robust text watermark. The idea is to steer the generation along a specific semantic direction and then recover the mark by probing the activations o...

Sergey Pletenev · 0 citations
#natural language process... Preprint Oct 2026

BRIDGE: Selective Boundary Repair with Dependency Graph Evidence in Multi-Agent Systems

Multi-agent collaboration has emerged as a critical paradigm for tackling complex, long-horizon tasks; however, while coordination protocols continue to advance, systemic failures at the inter-agent collaboration interface remain a pervasive bottleneck. In collaborative workflows, systems frequently suffer from \emph{b...

En-Cheng Su, Peng-Ze Li, Zi-Heng Hua et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Where Words Begin and End

Forced aligners locate each word of a known transcript in the audio, and many speech pipelines depend on them. In our own data, a widely used CTC aligner inserts a pause at nearly every word boundary, and we found almost no aligner evaluated on telephone audio. We compare nine aligner configurations against human word...

Husein Zolkepli · 0 citations
#natural language process... Preprint Open access Oct 2026

Full-duplex Spoken Language Modeling with Discrete Diffusion

We introduce Diffuplex, a full-duplex spoken language model based on discrete diffusion that achieves an unprecedented balance between linguistic intelligence and response efficiency. With thinking mode, Diffuplex delivers 13.0 tokens per forward pass, reaching an average of 1872 tokens per second and substantially sur...

Chen Chen, Pin-Jui Ku, Ankita Pasad et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

GENDIS: Gender-Related Discourse and Stance in Multilingual YouTube Comments from India, Kenya, and Nigeria

Research on gender-related online content is often operationalized through harm-centered tasks that collapse non-harmful gender-related and unrelated content, while existing datasets remain concentrated in high-resource languages and Global North settings. To bridge these gaps, we introduce GENDIS, a dataset of 9,600 m...

Luise Koch, Manuel Tonneau, Niyati Malhotra et al. · 0 citations
#natural language process... Preprint Oct 2026

Beyond Belief Nesting: Rethinking Higher-Order Theory of Mind in Large Language Models

Theory of mind (ToM), the ability to reason about others'mental states, underlies effective communication and coordination. Its higher-order form enables reasoning over nested perspectives in strategic interactions. However, existing evaluations often equate belief-nesting depth with reasoning order, allowing nominally...

Shan-Shan You, Zheng-Qi Wang, Hao-Tian Liu et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Many Right Answers, One Training Example: Removing Responder Noise from GRPO for LLM Recommenders

A recommendation request on Reddit draws several replies, each naming different titles. When an LLM recommender is trained on such threads with reinforcement learning (RL), which replies should a generated list be rewarded against? The state-of-the-art recipe, Rank-GRPO, picks one reply per training example, so the adv...

Xin Li, Hao Jiang, Jinghao Guo et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Connecting the Dots: Enduring Performance Gaps in ASR Systems Between Standard and Minority English Varieties

Automatic Speech Recognition (ASR) system evaluations have consistently revealed performance disparities along lines of race, gender, socioeconomic status, and language variety. While these disparities are well-documented, they are often (implicitly or explicitly) treated as issues that subsequent, larger, and more uni...

Alexander Metzger, Aruna Srivastava, Ruslan Mukhamedvaleev et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Understanding Machine Taste: Aesthetic Agreement Across Foundation Models in K-pop

As foundation models enter creative industries, understanding their aesthetic preferences becomes an important step toward AI-assisted creative decision making. In this work, we investigate how foundation models evaluate creative content and characterize their ``machine taste'' using K-pop songs and music videos as a t...

Kaishen Wang, Yucheng Pan, Xuehao Cui et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

Pushback in a Haystack: Language Models Respond to Factual Errors Ambiguously and Ineffectively

The sycophancy of language models, or their failure to push back against faulty user input, is now widely studied. However, if LMs do push back, is sycophancy solved? We show that LMs vary in how they present pushback, and thus vary in how effectively they correct user beliefs. We introduce a phrase-level, human-valida...

Li Lucy, Myra Cheng, Svenja Guhr et al. · 0 citations
#natural language process... Preprint Open access Oct 2026

The Image Still Has a Say: Final-Answer Repair for Multimodal Chain-of-Thought

Although chain-of-thought prompting has improved multimodal reasoning, it is still difficult to produce correct final answers, as the reasoning can drift away from the image. Besides, the trace is already fixed when the answer is generated, leaving no room for self-correction. Considering the image is still available a...

Yulan Pan, Xiaoyu Xu, Zhihong Shen · 0 citations
#natural language process... Preprint Open access Oct 2026

Worth Their Weights? Evaluating Generative Models for Discourse Parsing

Rhetorical Structure Theory (RST) parsing has historically been dominated by discriminative models based on pretrained encoder-only language models. The recent availability of high-quality generative language models has made it unclear whether RST parsing is better approached as a generative task. In this work, we inve...

Luke Gessler, Amir Zeldes · 0 citations

From tech blogs

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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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