EduBERT: Pretrained Deep Language Models for Learning Analytics. - Benjamin Clavié; Kobi Gal (CoRR, 2019)

Deep Embeddings of Contextual Assessment Data for Improving Performance Prediction. - Benjamin Clavié; Kobi Gal (EDM, 2020)

The Unreasonable Effectiveness of the Baseline: Discussing SVMs in Legal Text Classification. - Benjamin Clavié; Marc Alphonsus (JURIX, 2021)

LegaLMFiT: Efficient Short Legal Text Classification with LSTM Language Model Pre-Training. - Benjamin Clavié; Akshita Gheewala; Paul Briton; Marc Alphonsus; Rym Laabiyad; Francesco Piccoli (CoRR, 2021)

Towards Simple Hybrid Language Model Reasoning Through Human Explanations Enhanced Prompts. - Benjamin Clavié; Guillaume Soulié; Frederick Naylor; Thomas Brightwell (HHAI, 2023)

Large Language Models as Batteries-Included Zero-Shot ESCO Skills Matchers. - Benjamin Clavié; Guillaume Soulié (HR@RecSys, 2023)

Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification. - Benjamin Clavié; Alexandru Ciceu; Frederick Naylor; Guillaume Soulié; Thomas Brightwell (NLDB, 2023)

JaColBERT and Hard Negatives, Towards Better Japanese-First Embeddings for Retrieval: Early Technical Report. - Benjamin Clavié (CoRR, 2023)

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources. - Benjamin Clavié (CoRR, 2024)

rerankers: A Lightweight Python Library to Unify Ranking Methods. - Benjamin Clavié (CoRR, 2024)

Reducing the Footprint of Multi-Vector Retrieval with Minimal Performance Impact via Token Pooling. - Benjamin Clavié; Antoine Chaffin; Griffin Adams (CoRR, 2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Nathan Cooper; Griffin Adams; et al. (CoRR, 2024)

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference. - Benjamin Warner; Antoine Chaffin; Benjamin Clavié; Orion Weller; Oskar Hallström; Said Taghadouini; Alexis Gallagher; Raja Biswas; Faisal Ladhak; Tom Aarsen; Griffin Thomas Adams; Jeremy Howard; et al. (ACL (1), 2025)

It is all in the [MASK]: Simple instruction-tuning enables BERT-like masked language models as generative classifiers. - Benjamin Clavié; Nathan Cooper; Benjamin Warner (Nat. Lang. Process. J., 2025)

It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers. - Benjamin Clavié; Nathan Cooper; Benjamin Warner (CoRR, 2025)

ReadBench: Measuring the Dense Text Visual Reading Ability of Vision-Language Models. - Benjamin Clavié; Florian Brand (CoRR, 2025)