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Do Language Models Track Entities Across State Changes?
Zilu Tang, Qiao Zhao, Gabriel Franco +4
Entity tracking (ET), the ability to keep track of states, is a fundamental skill that underlies complex reasoning. An increasing amount of work investigates how transformer langua…
Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents
Nicholas Edwards, Sebastian Schuster
As Large Language Model (LLM) agents are increasingly deployed in open-ended domains like software engineering, they frequently encounter underspecified instructions that lack cruc…
Masked diffusion LLMs can use EoS tokens for hidden reasoning
Sarah Breckner, Sebastian Schuster
Diffusion LLMs have been proposed as an alternative to autoregressive LLMs. Curiously, they are especially capable if the generation length, i.e., the number of tokens the model ha…
Humans and LLMs Diverge on Probabilistic Inferences
Gaurav Kamath, Sreenath Madathil, Sebastian Schuster +2
Human reasoning often involves working over limited information to arrive at probabilistic conclusions. In its simplest form, this involves making an inference that is not strictly…