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Academic · 1 min

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens

arXiv:2602.15620v1 Announce Type: new Abstract: Reinforcement Learning (RL) has significantly improved large language model reasoning, but existing RL fine-tuning methods rely heavily on heuristic techniques …

Shiqi Liu, Zeyu He, Guojian Zhan, Letian Tao, Zhilong Zheng, Jiang Wu, Yinuo Wang, Yang Guan, Kehua Sheng, Bo Zhang, Keqiang Li, Jingliang Duan, Shengbo Eben Li

10 views Feb 23

Academic · 1 min

LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech Models

arXiv:2602.15675v1 Announce Type: new Abstract: Despite the advances in neural text to speech (TTS), many Arabic dialectal varieties remain marginally addressed, with most resources concentrated …

Ahmed Khaled Khamis, Hesham Ali

10 views Feb 23

Academic · 1 min

Revisiting Northrop Frye's Four Myths Theory with Large Language Models

arXiv:2602.15678v1 Announce Type: new Abstract: Northrop Frye's theory of four fundamental narrative genres (comedy, romance, tragedy, satire) has profoundly influenced literary criticism, yet computational approaches …

Edirlei Soares de Lima, Marco A. Casanova, Antonio L. Furtado

9 views Feb 23

Academic · 1 min

A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models

arXiv:2602.15689v1 Announce Type: new Abstract: Large language models and LLM-based agents are increasingly used for cybersecurity tasks that are inherently dual-use. Existing approaches to refusal, …

Meirav Segal, Noa Linder, Omer Antverg, Gil Gekker, Tomer Fichman, Omri Bodenheimer, Edan Maor, Omer Nevo

65 views Feb 23

Academic · 1 min

Rethinking Metrics for Lexical Semantic Change Detection

arXiv:2602.15716v1 Announce Type: new Abstract: Lexical semantic change detection (LSCD) increasingly relies on contextualised language model embeddings, yet most approaches still quantify change using a …

Roksana Goworek, Haim Dubossarsky

9 views Feb 23

Academic · 1 min

Causal Effect Estimation with Latent Textual Treatments

arXiv:2602.15730v1 Announce Type: new Abstract: Understanding the causal effects of text on downstream outcomes is a central task in many applications. Estimating such effects requires …

Omri Feldman, Amar Venugopal, Jann Spiess, Amir Feder

29 views Feb 23

Academic · 1 min

Under-resourced studies of under-resourced languages: lemmatization and POS-tagging with LLM annotators for historical Armenian, Georgian, …

arXiv:2602.15753v1 Announce Type: new Abstract: Low-resource languages pose persistent challenges for Natural Language Processing tasks such as lemmatization and part-of-speech (POS) tagging. This paper investigates …

Chahan Vidal-Gor\`ene (CJM, LIPN), Bastien Kindt (UCL), Florian Cafiero (PSL, CJM)

9 views Feb 23

Academic · 1 min

Ethical Considerations in Artificial Intelligence: Addressing Bias and Fairness in Algorithmic Decision-Making

The expanding use of artificial intelligence (AI) in decision-making across a range of industries has given rise to serious ethical questions about prejudice and justice. …

Yogesh Morchhale

15 views Feb 23

Academic · 1 min

Shedding light on the complex relationship between AI, art and copyright law

Ernesto Edwards

9 views Feb 23

Academic · 1 min

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems

arXiv:2602.16012v1 Announce Type: new Abstract: Neural solvers have achieved impressive progress in addressing simple routing problems, particularly excelling in computational efficiency. However, their advantages under …

Jieyi Bi, Zhiguang Cao, Jianan Zhou, Wen Song, Yaoxin Wu, Jie Zhang, Yining Ma, Cathy Wu

37 views Feb 23

Academic · 1 min

Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection

arXiv:2602.16037v1 Announce Type: new Abstract: Autonomous agentic workflows that iteratively refine their own behavior hold considerable promise, yet their failure modes remain poorly characterized. We …

Cameron Cagan, Pedram Fard, Jiazi Tian, Jingya Cheng, Shawn N. Murphy, Hossein Estiri

36 views Feb 23

Academic · 1 min

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

arXiv:2602.16039v1 Announce Type: new Abstract: The rapid rise of large language models (LLMs) is reshaping the landscape of automatic assessment in education. While these systems …

Hang Li, Kaiqi Yang, Xianxuan Long, Fedor Filippov, Yucheng Chu, Yasemin Copur-Gencturk, Peng He, Cory Miller, Namsoo Shin, Joseph Krajcik, Hui Liu, Jiliang Tang

19 views Feb 23

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Articles

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens

LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech Models

Revisiting Northrop Frye's Four Myths Theory with Large Language Models

A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models

Rethinking Metrics for Lexical Semantic Change Detection

Causal Effect Estimation with Latent Textual Treatments

Under-resourced studies of under-resourced languages: lemmatization and POS-tagging with LLM annotators for historical Armenian, Georgian, …

Ethical Considerations in Artificial Intelligence: Addressing Bias and Fairness in Algorithmic Decision-Making

Shedding light on the complex relationship between AI, art and copyright law

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems

Optimization Instability in Autonomous Agentic Workflows for Clinical Symptom Detection

How Uncertain Is the Grade? A Benchmark of Uncertainty Metrics for LLM-Based Automatic Assessment

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