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Wanting Wen

2 accepted papers

2025

Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning

COLING 2025main

Transformer-based language models (LMs) have demonstrated remarkable performance on many natural language tasks, yet to what extent LMs possess the capability of generalizing to unseen logical rules remains not explored sufficiently. In classical logic category, abductive, deductive and inductive (A…

2024

Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons

EMNLP 2024main

In this paper, we investigate whether Large Language Models (LLMs) actively recall or retrieve their internal repositories of factual knowledge when faced with reasoning tasks. Through an analysis of LLMs’ internal factual recall at each reasoning step via Knowledge Neurons, we reveal that LLMs fail…