Papers by Thomas Griffiths
Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning (2024.findings-emnlp)
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| Challenge: | Chain-of-Thought (CoT) prompting has been shown to enhance the multi-step reasoning capabilities of Large Language Models (LLMs). |
| Approach: | They propose to use CoT prompting to analyze a symbolic reasoning task where letters are shifted forward some number of steps in the alphabet. |
| Outcome: | The proposed model performs well on a symbolic reasoning task, with three LLMs performing the task using CoT prompts. |
MacGyver: Are Large Language Models Creative Problem Solvers? (2024.naacl-long)
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Yufei Tian, Abhilasha Ravichander, Lianhui Qin, Ronan Le Bras, Raja Marjieh, Nanyun Peng, Yejin Choi, Thomas Griffiths, Faeze Brahman
| Challenge: | a new study examines the creative problem-solving capabilities of modern LLMs . it provides insight into the constrained problem- solving capabilities of both humans and AI . |
| Approach: | They use an automatically generated dataset to compare and contrast LLMs and humans to find out their creative problem-solving abilities. |
| Outcome: | The proposed dataset compares LLMs and humans in a constrained setting . it shows that humans excel in tasks they are familiar with but struggle with domain-specific knowledge . |
Probing BERT’s priors with serial reproduction chains (2022.findings-acl)
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| Challenge: | Large neural language models have induced surprisingly human-like linguistic knowledge, from syntactic structure and subtle lexical biases to more insidious social biase and stereotypes. |
| Approach: | They propose to use serial reproduction chains to generate representative samples from popular masked language models like BERT to test their hypothesis. |
| Outcome: | The proposed method is based on theories of iterated learning in cognitive science and can be used to probe masked language models. |
Investigating representations of verb bias in neural language models (2020.emnlp-main)
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| Challenge: | Languages typically provide more than one grammatical construction to express certain types of messages. |
| Approach: | They propose a large benchmark dataset containing 50K human judgments for 5K distinct sentence pairs in the English dative alternation. |
| Outcome: | The proposed model outperforms recurrent architectures even under comparable parameter and training settings. |