Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Nitesh, Chatterjee, Usashi, Schockaert, Steven |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
by: Kumar, Nitesh, et al.
Published: (2024)
by: Kumar, Nitesh, et al.
Published: (2024)
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
by: Kteich, Hanane, et al.
Published: (2024)
by: Kteich, Hanane, et al.
Published: (2024)
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
by: Mtumbuka, Frank, et al.
Published: (2023)
by: Mtumbuka, Frank, et al.
Published: (2023)
Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis
by: Li, Na, et al.
Published: (2024)
by: Li, Na, et al.
Published: (2024)
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
by: Mtumbuka, Frank, et al.
Published: (2023)
by: Mtumbuka, Frank, et al.
Published: (2023)
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
by: Ushio, Asahi, et al.
Published: (2023)
by: Ushio, Asahi, et al.
Published: (2023)
Ragas: Automated Evaluation of Retrieval Augmented Generation
by: Es, Shahul, et al.
Published: (2023)
by: Es, Shahul, et al.
Published: (2023)
Large Language and Reasoning Models are Shallow Disjunctive Reasoners
by: Khalid, Irtaza, et al.
Published: (2025)
by: Khalid, Irtaza, et al.
Published: (2025)
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
by: Lehmann, Hans Hergen, et al.
Published: (2025)
by: Lehmann, Hans Hergen, et al.
Published: (2025)
Hierarchies over Vector Space: Orienting Word and Graph Embeddings
by: Guo, Xingzhi, et al.
Published: (2022)
by: Guo, Xingzhi, et al.
Published: (2022)
Extracting Social Connections from Finnish Karelian Refugee Interviews Using LLMs
by: Laato, Joonatan, et al.
Published: (2025)
by: Laato, Joonatan, et al.
Published: (2025)
Detecting Conceptual Abstraction in LLMs
by: Regneri, Michaela, et al.
Published: (2024)
by: Regneri, Michaela, et al.
Published: (2024)
LatentPrompt: Optimizing Promts in Latent Space
by: Bystroński, Mateusz, et al.
Published: (2025)
by: Bystroński, Mateusz, et al.
Published: (2025)
ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs
by: He, Feng, et al.
Published: (2025)
by: He, Feng, et al.
Published: (2025)
Mapping News Narratives Using LLMs and Narrative-Structured Text Embeddings
by: Elfes, Jan
Published: (2024)
by: Elfes, Jan
Published: (2024)
Can LLMs Extract Frame-Semantic Arguments?
by: Devasier, Jacob, et al.
Published: (2025)
by: Devasier, Jacob, et al.
Published: (2025)
Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)
by: Khatir, Mehrdad, et al.
Published: (2024)
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)
by: Liu, Zheyuan, et al.
Published: (2024)
Space Decomposition for Sentence Embedding
by: Ponwitayarat, Wuttikorn, et al.
Published: (2024)
by: Ponwitayarat, Wuttikorn, et al.
Published: (2024)
Capturing Knowledge Graphs and Rules with Octagon Embeddings
by: Charpenay, Victor, et al.
Published: (2024)
by: Charpenay, Victor, et al.
Published: (2024)
The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMs
by: Panda, Akash Kumar, et al.
Published: (2025)
by: Panda, Akash Kumar, et al.
Published: (2025)
Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space
by: Bigelow, Eric, et al.
Published: (2026)
by: Bigelow, Eric, et al.
Published: (2026)
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
by: Li, Danrui, et al.
Published: (2025)
by: Li, Danrui, et al.
Published: (2025)
Enhancing CLIP Conceptual Embedding through Knowledge Distillation
by: Kao, Kuei-Chun
Published: (2024)
by: Kao, Kuei-Chun
Published: (2024)
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
by: Sun, Chenxi, et al.
Published: (2023)
by: Sun, Chenxi, et al.
Published: (2023)
Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities
by: Kim, Youngwoo, et al.
Published: (2025)
by: Kim, Youngwoo, et al.
Published: (2025)
AgreeMate: Teaching LLMs to Haggle
by: Chatterjee, Ainesh, et al.
Published: (2024)
by: Chatterjee, Ainesh, et al.
Published: (2024)
Is a Peeled Apple Still Red? Evaluating LLMs' Ability for Conceptual Combination with Property Type
by: Song, Seokwon, et al.
Published: (2025)
by: Song, Seokwon, et al.
Published: (2025)
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
by: Zolnai-Lucas, Aaron, et al.
Published: (2024)
by: Zolnai-Lucas, Aaron, et al.
Published: (2024)
Extracting Unlearned Information from LLMs with Activation Steering
by: Seyitoğlu, Atakan, et al.
Published: (2024)
by: Seyitoğlu, Atakan, et al.
Published: (2024)
Conceptual Steganography
by: Zhou, Zhejian, et al.
Published: (2026)
by: Zhou, Zhejian, et al.
Published: (2026)
Conceptual In-Context Learning and Chain of Concepts: Solving Complex Conceptual Problems Using Large Language Models
by: Vaidya, Nishtha N., et al.
Published: (2024)
by: Vaidya, Nishtha N., et al.
Published: (2024)
EmbedGrad: Gradient-Based Prompt Optimization in Embedding Space for Large Language Models
by: Hou, Xiaoming, et al.
Published: (2025)
by: Hou, Xiaoming, et al.
Published: (2025)
IndiCASA: A Dataset and Bias Evaluation Framework in LLMs Using Contrastive Embedding Similarity in the Indian Context
by: S, Santhosh G, et al.
Published: (2025)
by: S, Santhosh G, et al.
Published: (2025)
Asking and Answering Questions to Extract Event-Argument Structures
by: Uddin, Md Nayem, et al.
Published: (2024)
by: Uddin, Md Nayem, et al.
Published: (2024)
LLMs are Also Effective Embedding Models: An In-depth Overview
by: Tao, Chongyang, et al.
Published: (2024)
by: Tao, Chongyang, et al.
Published: (2024)
SpeechMapper: Speech-to-text Embedding Projector for LLMs
by: Mohapatra, Biswesh, et al.
Published: (2026)
by: Mohapatra, Biswesh, et al.
Published: (2026)
Accelerating Production LLMs with Combined Token/Embedding Speculators
by: Wertheimer, Davis, et al.
Published: (2024)
by: Wertheimer, Davis, et al.
Published: (2024)
BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream Camouflage
by: Nakka, Kalyan, et al.
Published: (2025)
by: Nakka, Kalyan, et al.
Published: (2025)
Similar Items
-
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
by: Kumar, Nitesh, et al.
Published: (2024) -
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
by: Kteich, Hanane, et al.
Published: (2024) -
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
by: Mtumbuka, Frank, et al.
Published: (2023) -
Ontology Completion with Natural Language Inference and Concept Embeddings: An Analysis
by: Li, Na, et al.
Published: (2024) -
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
by: Mtumbuka, Frank, et al.
Published: (2023)