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20232026
most citedDo Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?

21 citations · 49 across the 24 of their papers we have counts for

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14 papers · 1 filter

cs.CL2026

PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf

Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner +17

Expert writing feedback from experienced researchers is critical for early-career scholars to improve their manuscripts, yet high-quality feedback often remains scarce because revi…

cs.CL2026

Rethinking Easy-to-Hard: Limits of Curriculum Learning in Post-Training for Deductive Reasoning

Maximilian Mordig, Andreas Opedal, Weiyang Liu +1

Curriculum learning (CL), motivated by the intuition that learning in increasing order of difficulty should ease generalization, is commonly adopted both in pre-training and post-t…

cs.CL2025

Are LLMs Good Safety Agents or a Propaganda Engine?

Neemesh Yadav, Francesco Ortu, Jiarui Liu +5

Large Language Models (LLMs) are trained to refuse to respond to harmful content. However, systematic analyses of whether this behavior is truly a reflection of its safety policies…

cs.CL2025

Are Language Models Efficient Reasoners? A Perspective from Logic Programming

Andreas Opedal, Yanick Zengaffinen, Haruki Shirakami +5

Modern language models (LMs) exhibit strong deductive reasoning capabilities, yet standard evaluations emphasize correctness while overlooking a key aspect of reasoning: efficiency…

cs.CL2025★ 2 cited

Are Language Models Consequentialist or Deontological Moral Reasoners?

Keenan Samway, Max Kleiman-Weiner, David Guzman Piedrahita +3

As AI systems increasingly navigate applications in healthcare, law, and governance, understanding how they handle ethically complex scenarios becomes critical. Previous work has m…

cs.CL2025

How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities

Aly M. Kassem, Bernhard Schölkopf, Zhijing Jin

Large language model (LLM) routing has emerged as a crucial strategy for balancing computational costs with performance by dynamically assigning queries to the most appropriate mod…