:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Shun, Loakman, Tyler, Lei, Youbo, Liu, Yi, Yang, Bohao, Zhao, Yuting, Yang, Dong, Lin, Chenghua
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Machine Learning
Accesso online:	https://arxiv.org/abs/2507.06427
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Seeing isn't Hearing: Benchmarking Vision Language Models at Interpreting Spectrograms
di: Loakman, Tyler, et al.
Pubblicazione: (2025)

ReproHum #0087-01: Human Evaluation Reproduction Report for Generating Fact Checking Explanations
di: Loakman, Tyler, et al.
Pubblicazione: (2024)

CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
di: Zhang, Hongbo, et al.
Pubblicazione: (2023)

With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models
di: Loakman, Tyler, et al.
Pubblicazione: (2024)

Who's Laughing Now? An Overview of Computational Humour Generation and Explanation
di: Loakman, Tyler, et al.
Pubblicazione: (2025)

Comparing Apples to Oranges: A Dataset & Analysis of LLM Humour Understanding from Traditional Puns to Topical Jokes
di: Loakman, Tyler, et al.
Pubblicazione: (2025)

Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases
di: Loakman, Tyler, et al.
Pubblicazione: (2024)

MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
di: Wang, Shun, et al.
Pubblicazione: (2024)

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
di: Wang, Yang, et al.
Pubblicazione: (2025)

LinguaLens: Towards Interpreting Linguistic Mechanisms of Large Language Models via Sparse Auto-Encoder
di: Jing, Yi, et al.
Pubblicazione: (2025)

Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning
di: Yang, Bohao, et al.
Pubblicazione: (2025)

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2024)

Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
di: Yang, Bohao, et al.
Pubblicazione: (2024)

Effective Distillation of Table-based Reasoning Ability from LLMs
di: Yang, Bohao, et al.
Pubblicazione: (2023)

Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners
di: Pham, Hung Manh, et al.
Pubblicazione: (2024)

Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
di: Yang, Bohao, et al.
Pubblicazione: (2024)

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
di: Zhao, Kun, et al.
Pubblicazione: (2025)

Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
di: He, Yifei, et al.
Pubblicazione: (2024)

A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models
di: Shu, Dong, et al.
Pubblicazione: (2025)

DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
di: Wang, Xu, et al.
Pubblicazione: (2026)

Adapting Decoder-Based Language Models for Diverse Encoder Downstream Tasks
di: Suganthan, Paul, et al.
Pubblicazione: (2025)

ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders
di: Liu, Xiangyu, et al.
Pubblicazione: (2025)

EvolvTrip: Enhancing Literary Character Understanding with Temporal Theory-of-Mind Graphs
di: Yang, Bohao, et al.
Pubblicazione: (2025)

BioMNER: A Dataset for Biomedical Method Entity Recognition
di: Tang, Chen, et al.
Pubblicazione: (2024)

SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language Models
di: He, Zirui, et al.
Pubblicazione: (2025)

Sparse Auto-Encoders and Holism about Large Language Models
di: Grindrod, Jumbly
Pubblicazione: (2026)

LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm
di: Wu, Siwei, et al.
Pubblicazione: (2025)

SOSAE: Self-Organizing Sparse AutoEncoder
di: Modi, Sarthak Ketanbhai, et al.
Pubblicazione: (2025)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
di: Shi, Fobo, et al.
Pubblicazione: (2023)

HalluSAE: Detecting Hallucinations in Large Language Models via Sparse Auto-Encoders
di: Chen, Boshui, et al.
Pubblicazione: (2026)

Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
di: Wang, Yang, et al.
Pubblicazione: (2025)

Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression
di: Xiao, Hanqi, et al.
Pubblicazione: (2025)

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
di: Karvonen, Adam, et al.
Pubblicazione: (2025)

AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models
di: Luo, Feng, et al.
Pubblicazione: (2025)

STEP: Scientific Time-Series Encoder Pretraining via Cross-Domain Distillation
di: Zhang, Chen, et al.
Pubblicazione: (2026)

Unifying Specialized Visual Encoders for Video Language Models
di: Chung, Jihoon, et al.
Pubblicazione: (2025)

Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks
di: Nielsen, Dan Saattrup, et al.
Pubblicazione: (2024)

Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL
di: Choi, Yunseon, et al.
Pubblicazione: (2024)

Explain Less, Understand More: Jargon Detection via Personalized Parameter-Efficient Fine-tuning
di: Wu, Bohao, et al.
Pubblicazione: (2025)

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels
di: Zhao, Yifan, et al.
Pubblicazione: (2026)