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Séb Arnold

3 accepted papers

2025

LOFT: Scalable and More Realistic Long-Context Evaluation

NAACL 2025findings

Long-context language models (LCLMs) have the potential to revolutionize our approach to tasks traditionally reliant on external tools like retrieval systems or databases. Leveraging LCLMs’ ability to natively ingest and process entire corpora of information offers numerous advantages. It enhances u…

2025

Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy

NAACL 2025findings

Entrainment, the responsive communication between interacting individuals, is a crucial process in building a strong relationship between a mental health therapist and their client, leading to positive therapeutic outcomes. However, so far entrainment has not been investigated as a measure of effica…

Cited by 0SourcePDFScholar
2023

RoboCLIP: One Demonstration is Enough to Learn Robot Policies

NeurIPS 2023poster

Reward specification is a notoriously difficult problem in reinforcement learning, requiring extensive expert supervision to design robust reward functions. Imitation learning (IL) methods attempt to circumvent these problems by utilizing expert demonstrations instead of using an extrinsic reward fu…

Cited by 74SourcePDFScholar