12 citations · 12 across the 18 of their papers we have counts for
5 papers · 1 filter
Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination
Qiqi Chen, Xinpeng Wang, Philipp Mondorf +2
Tree of Thoughts (ToT) is a reasoning strategy for Large Language Models (LLMs) that employs a generator to suggest reasoning steps and a discriminator to decide which steps to imp…
Circuit Compositions: Exploring Modular Structures in Transformer-Based Language Models
Philipp Mondorf, Sondre Wold, Barbara Plank
A fundamental question in interpretability research is to what extent neural networks, particularly language models, implement reusable functions through subnetworks that can be co…
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models
Philipp Mondorf, Barbara Plank
Knights and knaves problems represent a classic genre of logical puzzles where characters either tell the truth or lie. The objective is to logically deduce each character's identi…
Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
Philipp Mondorf, Barbara Plank
Large language models (LLMs) have recently shown impressive performance on tasks involving reasoning, leading to a lively debate on whether these models possess reasoning capabilit…
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning
Philipp Mondorf, Barbara Plank
Deductive reasoning plays a pivotal role in the formulation of sound and cohesive arguments. It allows individuals to draw conclusions that logically follow, given the truth value…