Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Yifei, Ou, Jie, Wang, Lei, Cheng, Jun, Zhou, Mengchu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
by: Monaco, Francesco Pio, et al.
Published: (2026)
by: Monaco, Francesco Pio, et al.
Published: (2026)
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)
by: Peters, Sydney, et al.
Published: (2025)
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)
Detecting AI-Generated Texts in Cross-Domains
by: Zhou, You, et al.
Published: (2024)
by: Zhou, You, et al.
Published: (2024)
QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)
by: Khanna, Danush, et al.
Published: (2025)
RUQuant: Towards Refining Uniform Quantization for Large Language Models
by: Liu, Han, et al.
Published: (2026)
by: Liu, Han, et al.
Published: (2026)
RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)
by: Saji, Alan, et al.
Published: (2025)
Xinyu: An Efficient LLM-based System for Commentary Generation
by: Wu, Yiquan, et al.
Published: (2024)
by: Wu, Yiquan, et al.
Published: (2024)
SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models
by: Liu, Han, et al.
Published: (2026)
by: Liu, Han, et al.
Published: (2026)
Constructing Cloze Questions Generatively
by: Sun, Yicheng, et al.
Published: (2024)
by: Sun, Yicheng, et al.
Published: (2024)
APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
by: Chernodub, Artem, et al.
Published: (2025)
by: Chernodub, Artem, et al.
Published: (2025)
PatentGPT: A Large Language Model for Intellectual Property
by: Bai, Zilong, et al.
Published: (2024)
by: Bai, Zilong, et al.
Published: (2024)
Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)
by: Oketunji, Abiodun Finbarrs
Published: (2023)
Search-R3: Unifying Reasoning and Embedding in Large Language Models
by: Gui, Yuntao, et al.
Published: (2025)
by: Gui, Yuntao, et al.
Published: (2025)
NL2LOGIC: AST-Guided Translation of Natural Language into First-Order Logic with Large Language Models
by: Putra, Rizky Ramadhana, et al.
Published: (2026)
by: Putra, Rizky Ramadhana, et al.
Published: (2026)
Exploring Model Invariance with Discrete Search for Ultra-Low-Bit Quantization
by: Wen, Yuqiao, et al.
Published: (2025)
by: Wen, Yuqiao, et al.
Published: (2025)
Super Tiny Language Models
by: Hillier, Dylan, et al.
Published: (2024)
by: Hillier, Dylan, et al.
Published: (2024)
Red Teaming for Large Language Models At Scale: Tackling Hallucinations on Mathematics Tasks
by: Buszydlik, Aleksander, et al.
Published: (2023)
by: Buszydlik, Aleksander, et al.
Published: (2023)
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
by: Rai, Daking, et al.
Published: (2024)
by: Rai, Daking, et al.
Published: (2024)
A Hierarchical Error Framework for Reliable Automated Coding in Communication Research: Applications to Health and Political Communication
by: Zhao, Zhilong, et al.
Published: (2025)
by: Zhao, Zhilong, et al.
Published: (2025)
Demystifying Instruction Mixing for Fine-tuning Large Language Models
by: Wang, Renxi, et al.
Published: (2023)
by: Wang, Renxi, et al.
Published: (2023)
Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration
by: Yuan, Weikang, et al.
Published: (2024)
by: Yuan, Weikang, et al.
Published: (2024)
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework
by: Chen, Jie, et al.
Published: (2025)
by: Chen, Jie, et al.
Published: (2025)
Partially Recentralization Softmax Loss for Vision-Language Models Robustness
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Streamlining Redundant Layers to Compress Large Language Models
by: Chen, Xiaodong, et al.
Published: (2024)
by: Chen, Xiaodong, et al.
Published: (2024)
RMGAP: Benchmarking the Generalization of Reward Models across Diverse Preferences
by: Zhou, Yangyang, et al.
Published: (2026)
by: Zhou, Yangyang, et al.
Published: (2026)
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models
by: Zhang, Zhengxin, et al.
Published: (2024)
by: Zhang, Zhengxin, et al.
Published: (2024)
Low-Resource Court Judgment Summarization for Common Law Systems
by: Liu, Shuaiqi, et al.
Published: (2024)
by: Liu, Shuaiqi, et al.
Published: (2024)
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood
by: Xu, Yang, et al.
Published: (2024)
by: Xu, Yang, et al.
Published: (2024)
Robustness of Large Language Models to Perturbations in Text
by: Singh, Ayush, et al.
Published: (2024)
by: Singh, Ayush, et al.
Published: (2024)
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
by: Niu, Shuai, et al.
Published: (2024)
by: Niu, Shuai, et al.
Published: (2024)
Beyond Token Length: Step Pruner for Efficient and Accurate Reasoning in Large Language Models
by: Wu, Canhui, et al.
Published: (2025)
by: Wu, Canhui, et al.
Published: (2025)
Distributed In-Context Learning under Non-IID Among Clients
by: Liang, Siqi, et al.
Published: (2024)
by: Liang, Siqi, et al.
Published: (2024)
Integrating Emotional and Linguistic Models for Ethical Compliance in Large Language Models
by: Chang, Edward Y.
Published: (2024)
by: Chang, Edward Y.
Published: (2024)
BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models
by: Patarlapalli, Sai Babu, et al.
Published: (2026)
by: Patarlapalli, Sai Babu, et al.
Published: (2026)
Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
by: Iida, Kurando, et al.
Published: (2024)
by: Iida, Kurando, et al.
Published: (2024)
UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning
by: Ovcharov, Volodymyr
Published: (2026)
by: Ovcharov, Volodymyr
Published: (2026)
Language Models are Crossword Solvers
by: Saha, Soumadeep, et al.
Published: (2024)
by: Saha, Soumadeep, et al.
Published: (2024)
The Dual-Route Model of Induction
by: Feucht, Sheridan, et al.
Published: (2025)
by: Feucht, Sheridan, et al.
Published: (2025)
Similar Items
-
Frequency Matters: Fast Model-Agnostic Data Curation for Pruning and Quantization
by: Monaco, Francesco Pio, et al.
Published: (2026) -
Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025) -
Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024) -
Detecting AI-Generated Texts in Cross-Domains
by: Zhou, You, et al.
Published: (2024) -
QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)