Exploring the Hidden Capacity of LLMs for One-Step Text Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Mezentsev, Gleb, Oseledets, Ivan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
by: Chekalina, Viktoriia, et al.
Published: (2024)
by: Chekalina, Viktoriia, et al.
Published: (2024)
On the Spatial Structure of Mixture-of-Experts in Transformers
by: Bershatsky, Daniel, et al.
Published: (2025)
by: Bershatsky, Daniel, 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)
by: Baumann, Joachim, et al.
Published: (2025)
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)
by: Bershatsky, Daniel, et al.
Published: (2024)
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
by: Ahn, Jihyun Janice, et al.
Published: (2024)
by: Ahn, Jihyun Janice, et al.
Published: (2024)
Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
by: Zhou, Mingyuan, et al.
Published: (2024)
by: Zhou, Mingyuan, et al.
Published: (2024)
Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
by: Lai, Xin, et al.
Published: (2024)
by: Lai, Xin, et al.
Published: (2024)
Hidden in the Haystack: Smaller Needles are More Difficult for LLMs to Find
by: Bianchi, Owen, et al.
Published: (2025)
by: Bianchi, Owen, et al.
Published: (2025)
FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
by: Monsefi, Amin Karimi, et al.
Published: (2025)
by: Monsefi, Amin Karimi, et al.
Published: (2025)
Counterfactual Evaluation Reveals Hidden Capability Profiles in Clinical LLMs and Agents
by: Turk, Matt
Published: (2026)
by: Turk, Matt
Published: (2026)
Your Transformer is Secretly Linear
by: Razzhigaev, Anton, et al.
Published: (2024)
by: Razzhigaev, Anton, et al.
Published: (2024)
Unraveling Text Generation in LLMs: A Stochastic Differential Equation Approach
by: Zhang, Yukun
Published: (2024)
by: Zhang, Yukun
Published: (2024)
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
by: Hans, Abhimanyu, et al.
Published: (2024)
by: Hans, Abhimanyu, et al.
Published: (2024)
The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering
by: Zhou, Yefan, et al.
Published: (2026)
by: Zhou, Yefan, et al.
Published: (2026)
From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
by: Schiekiera, Louis, et al.
Published: (2026)
by: Schiekiera, Louis, et al.
Published: (2026)
Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025)
by: Xiao, Feng, et al.
Published: (2025)
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation
by: Goren, Shani, et al.
Published: (2026)
by: Goren, Shani, et al.
Published: (2026)
Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning
by: Li, Junsong, et al.
Published: (2025)
by: Li, Junsong, et al.
Published: (2025)
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-Making
by: Duan, Jinhao, et al.
Published: (2025)
by: Duan, Jinhao, et al.
Published: (2025)
Reinforcement Learning for Diffusion LLMs with Entropy-Guided Step Selection and Stepwise Advantages
by: Kunde, Vishnu Teja, et al.
Published: (2026)
by: Kunde, Vishnu Teja, et al.
Published: (2026)
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
by: Wang, Peiyi, et al.
Published: (2023)
by: Wang, Peiyi, et al.
Published: (2023)
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
by: Lin, Yihan, et al.
Published: (2025)
by: Lin, Yihan, et al.
Published: (2025)
Self-Evaluating LLMs for Multi-Step Tasks: Stepwise Confidence Estimation for Failure Detection
by: Mavi, Vaibhav, et al.
Published: (2025)
by: Mavi, Vaibhav, et al.
Published: (2025)
StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion
by: Wu, Yutong, et al.
Published: (2025)
by: Wu, Yutong, et al.
Published: (2025)
SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs?
by: Zhuang, Haomin, et al.
Published: (2024)
by: Zhuang, Haomin, et al.
Published: (2024)
Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
by: Pecher, Branislav, et al.
Published: (2024)
by: Pecher, Branislav, et al.
Published: (2024)
Exploring Design Choices for Building Language-Specific LLMs
by: Tejaswi, Atula, et al.
Published: (2024)
by: Tejaswi, Atula, et al.
Published: (2024)
HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
by: Chen, Junying, et al.
Published: (2023)
by: Chen, Junying, et al.
Published: (2023)
Wings: Learning Multimodal LLMs without Text-only Forgetting
by: Zhang, Yi-Kai, et al.
Published: (2024)
by: Zhang, Yi-Kai, et al.
Published: (2024)
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
by: Zhang, Jintian, et al.
Published: (2024)
by: Zhang, Jintian, et al.
Published: (2024)
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs
by: Mezentsev, Gleb, et al.
Published: (2024)
by: Mezentsev, Gleb, et al.
Published: (2024)
RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders
by: Gusak, Danil, et al.
Published: (2024)
by: Gusak, Danil, et al.
Published: (2024)
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
by: Pecher, Branislav, et al.
Published: (2026)
by: Pecher, Branislav, et al.
Published: (2026)
Too Big to Think: Capacity, Memorization, and Generalization in Pre-Trained Transformers
by: Barron, Joshua, et al.
Published: (2025)
by: Barron, Joshua, et al.
Published: (2025)
Multi-Turn Code Generation Through Single-Step Rewards
by: Jain, Arnav Kumar, et al.
Published: (2025)
by: Jain, Arnav Kumar, et al.
Published: (2025)
PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs
by: Fu, Xiao, et al.
Published: (2025)
by: Fu, Xiao, et al.
Published: (2025)
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
by: Kang, Haoqiang, et al.
Published: (2025)
by: Kang, Haoqiang, et al.
Published: (2025)
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
by: Liu, Terrance, et al.
Published: (2025)
by: Liu, Terrance, et al.
Published: (2025)
LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text
by: Bernsohn, Dor, et al.
Published: (2024)
by: Bernsohn, Dor, et al.
Published: (2024)
Similar Items
-
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
by: Chekalina, Viktoriia, et al.
Published: (2024) -
On the Spatial Structure of Mixture-of-Experts in Transformers
by: Bershatsky, Daniel, 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) -
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024) -
Direct-Inverse Prompting: Analyzing LLMs' Discriminative Capacity in Self-Improving Generation
by: Ahn, Jihyun Janice, et al.
Published: (2024)