Papers by Samuel Amouyal
Large Language Models for Psycholinguistic Plausibility Pretesting (2024.findings-eacl)
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| Challenge: | Psycholinguists typically use language models to create controlled materials . plausibility judgments are often based on coarse-grained judgements, but fine-grounded ones do not . |
| Approach: | They investigate whether Language Models can be used to generate plausibility judgments . they find that plausible judgements from LMs are highly related to human judgements - whereas other LM models are not . |
| Outcome: | The proposed language models can generate plausibility judgments from human evaluators . the proposed models do not provide satisfactory discriminative power . |
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? (2024.emnlp-main)
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| Challenge: | Current language models and retrieval-augmented LMs are limited in their ability to perform tasks on the web. |
| Approach: | They propose a benchmark to evaluate language agents built on top of language models . they propose 'AssistantBench' which includes 214 tasks that can be automatically evaluated . |
| Outcome: | The proposed agent outperforms existing agents in a new benchmark for language agents on the web. |