activity
20162026
most citedLLaMA: Open and Efficient Foundation Language Models

4k citations · 5k across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.CL2026

Shieldstral

Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli +273

We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms models nearly 7 its size on text safety benchmarks and set…

cs.CL2025★ 2 cited

Magistral

Mistral-AI, :, Abhinav Rastogi +98

We introduce Magistral, Mistral's first reasoning model and our own scalable reinforcement learning (RL) pipeline. Instead of relying on existing implementations and RL traces dist…

cs.CL2024

Mitigating Extrinsic Gender Bias for Bangla Classification Tasks

Sajib Kumar Saha Joy, Arman Hassan Mahy, Meherin Sultana +4

In this study, we investigate extrinsic gender bias in Bangla pretrained language models, a largely underexplored area in low-resource languages. To assess this bias, we construct…

cs.CL2023★ 322 cited

Mistral 7B

Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch +15

We introduce Mistral 7B v0.1, a 7-billion-parameter language model engineered for superior performance and efficiency. Mistral 7B outperforms Llama 2 13B across all evaluated bench…

cs.CL2023★ 4k cited

LLaMA: Open and Efficient Foundation Language Models

Hugo Touvron, Thibaut Lavril, Gautier Izacard +11

We introduce LLaMA, a collection of foundation language models ranging from 7B to 65B parameters. We train our models on trillions of tokens, and show that it is possible to train…

cs.CL2022★ 25 cited

HyperTree Proof Search for Neural Theorem Proving

Guillaume Lample, Marie-Anne Lachaux, Thibaut Lavril +5

We propose an online training procedure for a transformer-based automated theorem prover. Our approach leverages a new search algorithm, HyperTree Proof Search (HTPS), inspired by…