Academic

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Academic · 1 min

Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures

arXiv:2603.18729v1 Announce Type: new Abstract: Many works in the literature show that LLM outputs exhibit discriminatory behaviour, triggering stereotype-based inferences based on the dialect in …

Martina Ullasci, Marco Rondina, Riccardo Coppola, Flavio Giobergia, Riccardo Bellanca, Gabriele Mancari Pasi, Luca Prato, Federico Spinoso, Silvia Tagliente

14 views Mar 20

Academic · 1 min

MineDraft: A Framework for Batch Parallel Speculative Decoding

arXiv:2603.18016v1 Announce Type: new Abstract: Speculative decoding (SD) accelerates large language model inference by using a smaller draft model to propose draft tokens that are …

Zhenwei Tang, Arun Verma, Zijian Zhou, Zhaoxuan Wu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low

36 views Mar 20

Academic · 1 min

Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction

arXiv:2603.18085v1 Announce Type: new Abstract: Recent incidents have highlighted alarming cases where human-AI interactions led to negative psychological outcomes, including mental health crises and even …

Xin Wei Chia, Swee Liang Wong, Jonathan Pan

6 views Mar 20

Academic · 1 min

How LLMs Distort Our Written Language

arXiv:2603.18161v1 Announce Type: new Abstract: Large language models (LLMs) are used by over a billion people globally, most often to assist with writing. In this …

Marwa Abdulhai, Isadora White, Yanming Wan, Ibrahim Qureshi, Joel Leibo, Max Kleiman-Weiner, Natasha Jaques

15 views Mar 20

Academic · 1 min

Modeling the human lexicon under temperature variations: linguistic factors, diversity and typicality in LLM word …

arXiv:2603.18171v1 Announce Type: new Abstract: Large language models (LLMs) achieve impressive results in terms of fluency in text generation, yet the nature of their linguistic …

Maria Andueza Rodriguez, Marie Candito, Richard Huyghe

24 views Mar 20

Academic · 1 min

GRAFITE: Generative Regression Analysis Framework for Issue Tracking and Evaluation

arXiv:2603.18173v1 Announce Type: new Abstract: Large language models (LLMs) are largely motivated by their performance on popular topics and benchmarks at the time of their …

Ja Young Lee, M\'irian Silva, Mohamed Nasr, Shonda Witherspoon, Enzo Bozzani, Veronique Demers, Radha Ratnaparkhi, Hui Wu, Sara Rosenthal

20 views Mar 20

Academic · 1 min

CWoMP: Morpheme Representation Learning for Interlinear Glossing

arXiv:2603.18184v1 Announce Type: new Abstract: Interlinear glossed text (IGT) is a standard notation for language documentation which is linguistically rich but laborious to produce manually. …

Morris Alper, Enora Rice, Bhargav Shandilya, Alexis Palmer, Lori Levin

16 views Mar 20

Academic · 1 min

How Psychological Learning Paradigms Shaped and Constrained Artificial Intelligence

arXiv:2603.18203v1 Announce Type: new Abstract: The dominant paradigms of artificial intelligence were shaped by learning theories from psychology: behaviorism inspired reinforcement learning, cognitivism gave rise …

Alex Anvi Eponon, Ildar Batyrshin, Christian E. Maldonado-Sifuentes, Grigori Sidorov

18 views Mar 20

Academic · 1 min

From Noise to Signal: When Outliers Seed New Topics

arXiv:2603.18358v1 Announce Type: new Abstract: Outliers in dynamic topic modeling are typically treated as noise, yet we show that some can serve as early signals …

Evangelia Zve, Gauvain Bourgne, Benjamin Icard, Jean-Gabriel Ganascia

5 views Mar 20

Academic · 1 min

Synthetic Data Generation for Training Diversified Commonsense Reasoning Models

arXiv:2603.18361v1 Announce Type: new Abstract: Conversational agents are required to respond to their users not only with high quality (i.e. commonsense bearing) responses, but also …

Tianhui Zhang, Bei Peng, Danushka Bollegala

8 views Mar 20

Academic · 1 min

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching

arXiv:2603.18363v1 Announce Type: new Abstract: Unsupervised Reinforcement Learning from Internal Feedback (RLIF) has emerged as a promising paradigm for eliciting the latent capabilities of Large …

Ruishuo Chen, Yu Chen, Zhuoran Li, Longbo Huang

10 views Mar 20

Academic · 1 min

AutoScreen-FW: An LLM-based Framework for Resume Screening

arXiv:2603.18390v1 Announce Type: new Abstract: Corporate recruiters often need to screen many resumes within a limited time, which increases their burden and may cause suitable …

Zhelin Xu, Shuhei Yamamoto, Atsuyuki Morishima

10 views Mar 20

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Academic

Analysis Of Linguistic Stereotypes in Single and Multi-Agent Generative AI Architectures

MineDraft: A Framework for Batch Parallel Speculative Decoding

Multi-Trait Subspace Steering to Reveal the Dark Side of Human-AI Interaction

How LLMs Distort Our Written Language

Modeling the human lexicon under temperature variations: linguistic factors, diversity and typicality in LLM word …

GRAFITE: Generative Regression Analysis Framework for Issue Tracking and Evaluation

CWoMP: Morpheme Representation Learning for Interlinear Glossing

How Psychological Learning Paradigms Shaped and Constrained Artificial Intelligence

From Noise to Signal: When Outliers Seed New Topics

Synthetic Data Generation for Training Diversified Commonsense Reasoning Models

PowerFlow: Unlocking the Dual Nature of LLMs via Principled Distribution Matching

AutoScreen-FW: An LLM-based Framework for Resume Screening

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