A framework for analyzing concept representations in neural models
Fuente:
arXiv
Saved in:
| Main Authors: | Naowarat, Burin, Tang, Hao, Goldwater, Sharon |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
by: Liu, Oli Danyi, et al.
Published: (2024)
by: Liu, Oli Danyi, et al.
Published: (2024)
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
by: Mohamed, Mukhtar, et al.
Published: (2024)
by: Mohamed, Mukhtar, et al.
Published: (2024)
Effective Context in Neural Speech Models
by: Meng, Yen, et al.
Published: (2025)
by: Meng, Yen, et al.
Published: (2025)
Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
by: Qin, Wenjuan, et al.
Published: (2025)
by: Qin, Wenjuan, et al.
Published: (2025)
AKReF: An argumentative knowledge representation framework for structured argumentation
by: Bhattacharjee, Debarati, et al.
Published: (2025)
by: Bhattacharjee, Debarati, et al.
Published: (2025)
Human-like object concept representations emerge naturally in multimodal large language models
by: Du, Changde, et al.
Published: (2024)
by: Du, Changde, et al.
Published: (2024)
Revisiting Common Assumptions about Arabic Dialects in NLP
by: Keleg, Amr, et al.
Published: (2025)
by: Keleg, Amr, et al.
Published: (2025)
A Grounded Typology of Word Classes
by: Haley, Coleman, et al.
Published: (2024)
by: Haley, Coleman, et al.
Published: (2024)
A Unified Understanding and Evaluation of Steering Methods
by: Im, Shawn, et al.
Published: (2025)
by: Im, Shawn, et al.
Published: (2025)
Linear representations in language models can change dramatically over a conversation
by: Lampinen, Andrew Kyle, et al.
Published: (2026)
by: Lampinen, Andrew Kyle, et al.
Published: (2026)
The representation landscape of few-shot learning and fine-tuning in large language models
by: Doimo, Diego, et al.
Published: (2024)
by: Doimo, Diego, et al.
Published: (2024)
Do different prompting methods yield a common task representation in language models?
by: Davidson, Guy, et al.
Published: (2025)
by: Davidson, Guy, et al.
Published: (2025)
Estimating the Level of Dialectness Predicts Interannotator Agreement in Multi-dialect Arabic Datasets
by: Keleg, Amr, et al.
Published: (2024)
by: Keleg, Amr, et al.
Published: (2024)
Multimodal Large Language Models for Medicine: A Comprehensive Survey
by: Ye, Jiarui, et al.
Published: (2025)
by: Ye, Jiarui, et al.
Published: (2025)
LEACE: Perfect linear concept erasure in closed form
by: Belrose, Nora, et al.
Published: (2023)
by: Belrose, Nora, et al.
Published: (2023)
Learning representations of learning representations
by: González-Márquez, Rita, et al.
Published: (2024)
by: González-Márquez, Rita, et al.
Published: (2024)
Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models
by: Chattopadhyay, Souradeep, et al.
Published: (2026)
by: Chattopadhyay, Souradeep, et al.
Published: (2026)
Perturbation: A simple and efficient adversarial tracer for representation learning in language models
by: Rozner, Joshua, et al.
Published: (2026)
by: Rozner, Joshua, et al.
Published: (2026)
A multimodal and temporal foundation model for virtual patient representations at healthcare system scale
by: Zhang, Andrew, et al.
Published: (2026)
by: Zhang, Andrew, et al.
Published: (2026)
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers
by: Jiang, Yibo, et al.
Published: (2024)
by: Jiang, Yibo, et al.
Published: (2024)
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
by: Qi, Jianing, et al.
Published: (2024)
by: Qi, Jianing, et al.
Published: (2024)
Learning distributed representations with efficient SoftMax normalization
by: Dall'Amico, Lorenzo, et al.
Published: (2023)
by: Dall'Amico, Lorenzo, et al.
Published: (2023)
Large language models reorganize representational geometry during in-context learning
by: Xiong, Hua-Dong, et al.
Published: (2026)
by: Xiong, Hua-Dong, et al.
Published: (2026)
Indication Finding: a novel use case for representation learning
by: Eckhoff, Maren, et al.
Published: (2024)
by: Eckhoff, Maren, et al.
Published: (2024)
DRES: Fake news detection by dynamic representation and ensemble selection
by: Farhangian, Faramarz, et al.
Published: (2025)
by: Farhangian, Faramarz, et al.
Published: (2025)
How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability
by: Im, Shawn, et al.
Published: (2026)
by: Im, Shawn, et al.
Published: (2026)
A quantitative analysis of semantic information in deep representations of text and images
by: Acevedo, Santiago, et al.
Published: (2025)
by: Acevedo, Santiago, et al.
Published: (2025)
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templates
by: Narayan, Avanika, et al.
Published: (2024)
by: Narayan, Avanika, et al.
Published: (2024)
A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
by: Jahin, Md Abrar, et al.
Published: (2024)
by: Jahin, Md Abrar, et al.
Published: (2024)
Explaining latent representations of generative models with large multimodal models
by: Zhu, Mengdan, et al.
Published: (2024)
by: Zhu, Mengdan, et al.
Published: (2024)
FLARE: Task-agnostic embedding model evaluation through a normalization process
by: Jiang, Jingzhou, et al.
Published: (2026)
by: Jiang, Jingzhou, et al.
Published: (2026)
Symmetry in language statistics shapes the geometry of model representations
by: Karkada, Dhruva, et al.
Published: (2026)
by: Karkada, Dhruva, et al.
Published: (2026)
Modeling the language cortex with form-independent and enriched representations of sentence meaning reveals remarkable semantic abstractness
by: Saha, Shreya, et al.
Published: (2025)
by: Saha, Shreya, et al.
Published: (2025)
Ambiguity in LLMs is a concept missing problem
by: Hu, Zhibo, et al.
Published: (2025)
by: Hu, Zhibo, et al.
Published: (2025)
TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling
by: Li, Jiaqian, et al.
Published: (2026)
by: Li, Jiaqian, et al.
Published: (2026)
Detection of developmental language disorder in Cypriot Greek children using a neural network algorithm
by: Georgiou, Georgios P., et al.
Published: (2023)
by: Georgiou, Georgios P., et al.
Published: (2023)
Discovering influential text using convolutional neural networks
by: Ayers, Megan, et al.
Published: (2024)
by: Ayers, Megan, et al.
Published: (2024)
A duality framework for analyzing random feature and two-layer neural networks
by: Chen, Hongrui, et al.
Published: (2023)
by: Chen, Hongrui, et al.
Published: (2023)
Analyzing the relationships between pretraining language, phonetic, tonal, and speaker information in self-supervised speech models
by: Gubian, Michele, et al.
Published: (2025)
by: Gubian, Michele, et al.
Published: (2025)
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models
by: Feng, Jiarui, et al.
Published: (2024)
by: Feng, Jiarui, et al.
Published: (2024)
Similar Items
-
A predictive learning model can simulate temporal dynamics and context effects found in neural representations of continuous speech
by: Liu, Oli Danyi, et al.
Published: (2024) -
Orthogonality and isotropy of speaker and phonetic information in self-supervised speech representations
by: Mohamed, Mukhtar, et al.
Published: (2024) -
Effective Context in Neural Speech Models
by: Meng, Yen, et al.
Published: (2025) -
Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
by: Qin, Wenjuan, et al.
Published: (2025) -
AKReF: An argumentative knowledge representation framework for structured argumentation
by: Bhattacharjee, Debarati, et al.
Published: (2025)