Image de couverture de livre

Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Duan, Xufeng, Zhou, Xinyu, Xiao, Bei, Cai, Zhenguang G.
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

HLB: Benchmarking LLMs' Humanlikeness in Language Use
par: Duan, Xufeng, et autres
Publié: (2024)

SCALPEL: Selective Capability Ablation via Low-rank Parameter Editing for Large Language Model Interpretability Analysis
par: Fu, Zihao, et autres
Publié: (2026)

Linguistic Minimal Pairs Elicit Linguistic Similarity in Large Language Models
par: Zhou, Xinyu, et autres
Publié: (2024)

Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
par: Tang, Xuemei, et autres
Publié: (2026)

Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review Composition
par: Tang, Xuemei, et autres
Publié: (2024)

Grammaticality Representation in ChatGPT as Compared to Linguists and Laypeople
par: Qiu, Zhuang, et autres
Publié: (2024)

Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
par: Wu, Hanlin, et autres
Publié: (2025)

How Syntax Specialization Emerges in Language Models
par: Duan, Xufeng, et autres
Publié: (2025)

Information Loss in LLMs' Multilingual Translation: The Role of Training Data, Language Proximity, and Language Family
par: Lin, Yumeng, et autres
Publié: (2025)

MacBehaviour: An R package for behavioural experimentation on large language models
par: Duan, Xufeng, et autres
Publié: (2024)

Do large language models resemble humans in language use?
par: Cai, Zhenguang G., et autres
Publié: (2023)

Large Language Models for Psycholinguistic Plausibility Pretesting
par: Amouyal, Samuel Joseph, et autres
Publié: (2024)

A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles
par: Lee, Eun-Kyoung Rosa, et autres
Publié: (2024)

When a Man Says He Is Pregnant: Event-related Potential Evidence for a Rational Account of Speaker-contextualized Language Comprehension
par: Wu, Hanlin, et autres
Publié: (2024)

A Temporal Psycholinguistics Approach to Identity Resolution of Social Media Users
par: Islam, Md Touhidul
Publié: (2024)

From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
par: Yuan, Shuzhou, et autres
Publié: (2025)

Speaker effects in language comprehension: An integrative model of language and speaker processing
par: Wu, Hanlin, et autres
Publié: (2024)

On the Proper Treatment of Tokenization in Psycholinguistics
par: Giulianelli, Mario, et autres
Publié: (2024)

When AI companions become witty: Can human brain recognize AI-generated irony?
par: Rao, Xiaohui, et autres
Publié: (2025)

A funny companion: Distinct neural responses to perceived AI- versus human-generated humor
par: Rao, Xiaohui, et autres
Publié: (2025)

A Survey of Idiom Datasets for Psycholinguistic and Computational Research
par: Flor, Michael, et autres
Publié: (2025)

Unveiling the Influence of Amplifying Language-Specific Neurons
par: Rahmanisa, Inaya, et autres
Publié: (2025)

To Words and Beyond: Probing Large Language Models for Sentence-Level Psycholinguistic Norms of Memorability and Reading Times
par: Clark, Thomas Hikaru, et autres
Publié: (2026)

Probabilistic adaptation of language comprehension for individual speakers: evidence from neural oscillations
par: Wu, Hanlin, et autres
Publié: (2025)

Improving Neuron-level Interpretability with White-box Language Models
par: Bai, Hao, et autres
Publié: (2024)

Psycholinguistic Word Features: a New Approach for the Evaluation of LLMs Alignment with Humans
par: Conde, Javier, et autres
Publié: (2025)

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
par: Yu, Zeping, et autres
Publié: (2024)

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models
par: Liu, Yan, et autres
Publié: (2024)

Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons
par: Wang, Yifei, et autres
Publié: (2024)

MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
par: Huo, Jiahao, et autres
Publié: (2024)

Flash Interpretability: Decoding Specialised Feature Neurons in Large Language Models with the LM-Head
par: Davies, Harry J
Publié: (2025)

Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context
par: Bartl, Marion, et autres
Publié: (2025)

LanguaShrink: Reducing Token Overhead with Psycholinguistics
par: Liang, Xuechen, et autres
Publié: (2024)

From Behavioral Performance to Internal Competence: Interpreting Vision-Language Models with VLM-Lens
par: Sheta, Hala, et autres
Publié: (2025)

Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features
par: Tshimula, Jean Marie, et autres
Publié: (2024)

Psycholinguistic Analyses in Software Engineering Text: A Systematic Literature Review
par: Sajadi, Amirali, et autres
Publié: (2025)

Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability
par: Hu, Xinyu, et autres
Publié: (2024)

Unveiling the Potential of Diffusion Large Language Model in Controllable Generation
par: Xiong, Zhen, et autres
Publié: (2025)

Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space
par: Wu, Si, et autres
Publié: (2025)

Interpreting Bias in Large Language Models: A Feature-Based Approach
par: Prakash, Nirmalendu, et autres
Publié: (2024)