Cover Image

Large Language Models Are Overparameterized Text Encoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	K, Thennal D, Fischer, Tim, Biemann, Chris
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fisher Mask Nodes for Language Model Merging
by: K, Thennal D, et al.
Published: (2024)

Just Use XML: Revisiting Joint Translation and Label Projection
by: DK, Thennal, et al.
Published: (2026)

Large Language Models are Powerful Electronic Health Record Encoders
by: Hegselmann, Stefan, et al.
Published: (2025)

Language Models as Hierarchy Encoders
by: He, Yuan, et al.
Published: (2024)

Large Language Models for Detection of Life-Threatening Texts
by: Nguyen, Thanh Thi, et al.
Published: (2025)

RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models
by: Huang, Jie, et al.
Published: (2023)

Disentangling Exploration of Large Language Models by Optimal Exploitation
by: Grams, Tim, et al.
Published: (2025)

Large Language Model Unlearning via Embedding-Corrupted Prompts
by: Liu, Chris Yuhao, et al.
Published: (2024)

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions
by: Tsymbalov, Aleksandr, et al.
Published: (2025)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
by: Sun, Shengyin, et al.
Published: (2023)

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation
by: Uludoğan, Gökçe, et al.
Published: (2024)

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
by: Ashiga, Mari, et al.
Published: (2025)

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
by: Jiao, Difan, et al.
Published: (2023)

Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
by: Mersha, Melkamu Abay, et al.
Published: (2025)

FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
by: Mittu, Fazal, et al.
Published: (2024)

Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT
by: Shakil, Hassan, et al.
Published: (2024)

Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion
by: Liu, Ben, et al.
Published: (2024)

Can Large Language Models Infer Causal Relationships from Real-World Text?
by: Saklad, Ryan, et al.
Published: (2025)

Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
by: Baumann, Joachim, et al.
Published: (2025)

An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models
by: Janakiraman, Anantharaman, et al.
Published: (2025)

Revisiting Prompt Sensitivity in Large Language Models for Text Classification: The Role of Prompt Underspecification
by: Pecher, Branislav, et al.
Published: (2026)

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
by: Vu, Tu, et al.
Published: (2024)

Languages are Modalities: Cross-Lingual Alignment via Encoder Injection
by: Agarwal, Rajan, et al.
Published: (2025)

Self-Taught Self-Correction for Small Language Models
by: Moskvoretskii, Viktor, et al.
Published: (2025)

Large Language Models Can Self-Improve At Web Agent Tasks
by: Patel, Ajay, et al.
Published: (2024)

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
by: Zhang, Andi, et al.
Published: (2024)

Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
by: Messina, Pablo, et al.
Published: (2024)

TransformLLM: Adapting Large Language Models via LLM-Transformed Reading Comprehension Text
by: Arbel, Iftach, et al.
Published: (2024)

STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
by: Basavatia, Shreyas, et al.
Published: (2024)

BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining
by: Merzah, Baqer M., et al.
Published: (2025)

Large Language Models Meet Text-Attributed Graphs: A Survey of Integration Frameworks and Applications
by: Su, Guangxin, et al.
Published: (2025)

Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
by: Guo, Yuting, et al.
Published: (2024)

Extracting Patient History from Clinical Text: A Comparative Study of Clinical Large Language Models
by: Nghiem, Hieu, et al.
Published: (2025)

Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions
by: Tsai, Chen Feng, et al.
Published: (2023)

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
by: Dong, Honghua, et al.
Published: (2024)

Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
by: Iravani, Sahar, et al.
Published: (2024)

Large Language Models for Time Series: A Survey
by: Zhang, Xiyuan, et al.
Published: (2024)

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
by: Loula, João, et al.
Published: (2025)

Discovering Forbidden Topics in Language Models
by: Rager, Can, et al.
Published: (2025)

Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)