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20242026
most citedAligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models

3 citations · 3 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Polyglot Teachers: Evaluating Language Models for Multilingual Synthetic Data Generation

Lester James V. Miranda, Ivan Vulić, Anna Korhonen

Synthesizing supervised finetuning (SFT) data from language models (LMs) to teach smaller models multilingual tasks has become increasingly common. However, teacher model selection…

cs.CY2026

Artificial intelligence is creating a new global linguistic hierarchy

Giulia Occhini, Kumiko Tanaka-Ishii, Anna Barford +10

Artificial intelligence (AI) has the potential to transform healthcare, education, governance and socioeconomic equity, but its benefits remain concentrated in a small number of la…

cs.LG2026

Agentic Policy Optimization via Instruction-Policy Co-Evolution

Han Zhou, Xingchen Wan, Ivan Vulić +1

Reinforcement Learning with Verifiable Rewards (RLVR) has advanced the reasoning capability of large language models (LLMs), enabling autonomous agents that can conduct effective m…

cs.LG2026

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning

Chengzu Li, Zanyi Wang, Jiaang Li +9

Vision-Language Models have excelled at textual reasoning, but they often struggle with fine-grained spatial understanding and continuous action planning, failing to simulate the d…

cs.CL2026

Value of Information: A Framework for Human-Agent Communication

Yijiang River Dong, Tiancheng Hu, Zheng Hui +4

Large Language Model (LLM) agents deployed for real-world tasks face a fundamental dilemma: user requests are underspecified, yet agents must decide whether to act on incomplete in…