Victor Morand
@victormorand.bsky.social
PhD Student @ Sorbonne Université (@mlia-isir.bsky.social)
Research in information retrieval and conversational search: Towards Language models that know what they know 🧠
Homepage : victormorand.github.io
Research in information retrieval and conversational search: Towards Language models that know what they know 🧠
Homepage : victormorand.github.io
3️⃣ The Entity Lens
Our method enables reconstruction of entity mentions from any representation within LLMs, allowing to ask: “What entity is the model thinking about right now?”
💡 When reading ‘the City of Lights iconic monument’, the model internally “thinks” of Paris and the Eiffel Tower !
Our method enables reconstruction of entity mentions from any representation within LLMs, allowing to ask: “What entity is the model thinking about right now?”
💡 When reading ‘the City of Lights iconic monument’, the model internally “thinks” of Paris and the Eiffel Tower !
October 22, 2025 at 8:16 AM
3️⃣ The Entity Lens
Our method enables reconstruction of entity mentions from any representation within LLMs, allowing to ask: “What entity is the model thinking about right now?”
💡 When reading ‘the City of Lights iconic monument’, the model internally “thinks” of Paris and the Eiffel Tower !
Our method enables reconstruction of entity mentions from any representation within LLMs, allowing to ask: “What entity is the model thinking about right now?”
💡 When reading ‘the City of Lights iconic monument’, the model internally “thinks” of Paris and the Eiffel Tower !
New paper at @blackboxnlp.bsky.social @ @emnlpmeeting.bsky.social !
⚛️ Entities are the fundamental building blocks of knowledge. Although some clues emerge from mechanistic interpretability, how auto-regressive LLMs actually encode and retrieve them remains a mystery. 🧵
📄 arxiv.org/abs/2510.09421
⚛️ Entities are the fundamental building blocks of knowledge. Although some clues emerge from mechanistic interpretability, how auto-regressive LLMs actually encode and retrieve them remains a mystery. 🧵
📄 arxiv.org/abs/2510.09421
October 22, 2025 at 8:16 AM
New paper at @blackboxnlp.bsky.social @ @emnlpmeeting.bsky.social !
⚛️ Entities are the fundamental building blocks of knowledge. Although some clues emerge from mechanistic interpretability, how auto-regressive LLMs actually encode and retrieve them remains a mystery. 🧵
📄 arxiv.org/abs/2510.09421
⚛️ Entities are the fundamental building blocks of knowledge. Although some clues emerge from mechanistic interpretability, how auto-regressive LLMs actually encode and retrieve them remains a mystery. 🧵
📄 arxiv.org/abs/2510.09421