Thomas Palmeira
@thomaspalmeira.bsky.social
Working with #LLMs #NLP #Speech for Multilingual, Low-Resource, and Efficient ML
PhD Track at @Polytechnique and @TelecomParis. Science saves lifes! #EMNLP2024 #LoG2024 #NeurIPS2024
http://thomas-ferraz.github.io
https://linktr.ee/_thomaspf
PhD Track at @Polytechnique and @TelecomParis. Science saves lifes! #EMNLP2024 #LoG2024 #NeurIPS2024
http://thomas-ferraz.github.io
https://linktr.ee/_thomaspf
I’M BACK TO THE ALPS! 🏔️⛷️🇫🇷
I am excited to share that I have started a position as a Research Scientist at @naverlabseurope.bsky.social . I'll be working on exciting topics around Memory and Reasoning in LLMs and AI Agents.
I am excited to share that I have started a position as a Research Scientist at @naverlabseurope.bsky.social . I'll be working on exciting topics around Memory and Reasoning in LLMs and AI Agents.
April 23, 2025 at 7:18 PM
I’M BACK TO THE ALPS! 🏔️⛷️🇫🇷
I am excited to share that I have started a position as a Research Scientist at @naverlabseurope.bsky.social . I'll be working on exciting topics around Memory and Reasoning in LLMs and AI Agents.
I am excited to share that I have started a position as a Research Scientist at @naverlabseurope.bsky.social . I'll be working on exciting topics around Memory and Reasoning in LLMs and AI Agents.
📰 Why?
We know disinformation campaigns erode public trust on information.
On the technical side, few works leverage Transformers/LLMs advances to encode information in GNNs. Our work explore using contextual representations (from user bios & replies) to enhance fake news detection.
We know disinformation campaigns erode public trust on information.
On the technical side, few works leverage Transformers/LLMs advances to encode information in GNNs. Our work explore using contextual representations (from user bios & replies) to enhance fake news detection.
November 28, 2024 at 1:48 PM
📰 Why?
We know disinformation campaigns erode public trust on information.
On the technical side, few works leverage Transformers/LLMs advances to encode information in GNNs. Our work explore using contextual representations (from user bios & replies) to enhance fake news detection.
We know disinformation campaigns erode public trust on information.
On the technical side, few works leverage Transformers/LLMs advances to encode information in GNNs. Our work explore using contextual representations (from user bios & replies) to enhance fake news detection.
Happy to share our paper "Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Media" being presented tomorrow at #LoG2024!
🗓 Tue, Nov 28
⏰ 15h GMT
Virtual
Paper: arxiv.org/pdf/2410.19193
Join us to discuss combating disinformation with GNNs! 🧵 (1/5)
🗓 Tue, Nov 28
⏰ 15h GMT
Virtual
Paper: arxiv.org/pdf/2410.19193
Join us to discuss combating disinformation with GNNs! 🧵 (1/5)
November 28, 2024 at 1:47 PM
Happy to share our paper "Enriching GNNs with Text Contextual Representations for Detecting Disinformation Campaigns on Social Media" being presented tomorrow at #LoG2024!
🗓 Tue, Nov 28
⏰ 15h GMT
Virtual
Paper: arxiv.org/pdf/2410.19193
Join us to discuss combating disinformation with GNNs! 🧵 (1/5)
🗓 Tue, Nov 28
⏰ 15h GMT
Virtual
Paper: arxiv.org/pdf/2410.19193
Join us to discuss combating disinformation with GNNs! 🧵 (1/5)
Excited to kick off my Bluesky sharing that I just presented our LLM Self-Correction paper at #EMNLP2024! 🎉 We propose a benchmark and a solution for LLMs on multi-constrained instruction following.
Check it: bit.ly/DeCRIM
Super exciting discussion there and lots of new ideas coming out from it!
Check it: bit.ly/DeCRIM
Super exciting discussion there and lots of new ideas coming out from it!
November 25, 2024 at 4:32 PM
Excited to kick off my Bluesky sharing that I just presented our LLM Self-Correction paper at #EMNLP2024! 🎉 We propose a benchmark and a solution for LLMs on multi-constrained instruction following.
Check it: bit.ly/DeCRIM
Super exciting discussion there and lots of new ideas coming out from it!
Check it: bit.ly/DeCRIM
Super exciting discussion there and lots of new ideas coming out from it!