Antoine Bosselut
- Papers
- 24
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Authored papers
24Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings
arXiv 2025
Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
arXiv 2025
PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning
arXiv 2025
Improving Autoformalization using Type Checking
arXiv 2024
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network
arXiv 2024
PICLe: Pseudo-Annotations for In-Context Learning in Low-Resource Named Entity Detection
arXiv 2024
The LLM Language Network: A Neuroscientific Approach for Identifying Causally Task-Relevant Units
arXiv 2024
Evaluating Language Model Agency through Negotiations
arXiv 2024
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
arXiv 2023
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives
arXiv 2023
Instruction-tuning Aligns LLMs to the Human Brain
arXiv 2023
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
arXiv 2023
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention
arXiv 2023
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models
arXiv 2023
REFINER: Reasoning Feedback on Intermediate Representations
arXiv 2023
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models
arXiv 2023
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
arXiv 2023
Mitigating Label Biases for In-context Learning
arXiv 2023
Deep Bidirectional Language-Knowledge Graph Pretraining
arXiv 2022
DISCO: Distilling Counterfactuals with Large Language Models
arXiv 2022
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering
arXiv 2022
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
arXiv 2022
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
NAACL 2021 4
Fast Model Editing at Scale
fast-model-editing-at-scale
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