Saved in:
| Main Authors: | Zhou, Sijia, Li, Xin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2412.11125 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
by: Zaghir, Jamil, et al.
Published: (2024)
by: Zaghir, Jamil, et al.
Published: (2024)
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
by: Chen, Sijia, et al.
Published: (2024)
by: Chen, Sijia, et al.
Published: (2024)
Deep literature reviews: an application of fine-tuned language models to migration research
by: Iacus, Stefano M., et al.
Published: (2025)
by: Iacus, Stefano M., et al.
Published: (2025)
AIDetx: a compression-based method for identification of machine-learning generated text
by: Almeida, Leonardo, et al.
Published: (2024)
by: Almeida, Leonardo, et al.
Published: (2024)
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
by: Fan, Chongyu, et al.
Published: (2025)
by: Fan, Chongyu, et al.
Published: (2025)
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
by: Chen, Sijia, et al.
Published: (2024)
by: Chen, Sijia, et al.
Published: (2024)
Enhancing ASD detection accuracy: a combined approach of machine learning and deep learning models with natural language processing
by: Rubio-Martín, Sergio, et al.
Published: (2024)
by: Rubio-Martín, Sergio, et al.
Published: (2024)
Attention Smoothing Is All You Need For Unlearning
by: Zade, Saleh Zare, et al.
Published: (2026)
by: Zade, Saleh Zare, et al.
Published: (2026)
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning
by: Wang, Xiaolei, et al.
Published: (2024)
by: Wang, Xiaolei, et al.
Published: (2024)
Invariant Features in Language Models: Geometric Characterization and Model Attribution
by: Dasgupta, Agnibh, et al.
Published: (2026)
by: Dasgupta, Agnibh, et al.
Published: (2026)
Feature Resemblance: Towards a Theoretical Understanding of Analogical Reasoning in Transformers
by: Xu, Ruichen, et al.
Published: (2026)
by: Xu, Ruichen, et al.
Published: (2026)
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
by: Cui, Yiming, et al.
Published: (2023)
by: Cui, Yiming, et al.
Published: (2023)
Modeling of learning curves with applications to pos tagging
by: Ferro, Manuel Vilares, et al.
Published: (2024)
by: Ferro, Manuel Vilares, et al.
Published: (2024)
On the evolution of research in hypersonics: application of natural language processing and machine learning
by: Ebadi, Ashkan, et al.
Published: (2022)
by: Ebadi, Ashkan, et al.
Published: (2022)
LLM Unlearning Under the Microscope: A Full-Stack View on Methods and Metrics
by: Fan, Chongyu, et al.
Published: (2025)
by: Fan, Chongyu, et al.
Published: (2025)
Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM Unlearning
by: Shang, Bingqi, et al.
Published: (2025)
by: Shang, Bingqi, et al.
Published: (2025)
SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs
by: Wang, Sijia, et al.
Published: (2026)
by: Wang, Sijia, et al.
Published: (2026)
Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
by: Tang, Xinyu, et al.
Published: (2025)
by: Tang, Xinyu, et al.
Published: (2025)
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
Chinese MentalBERT: Domain-Adaptive Pre-training on Social Media for Chinese Mental Health Text Analysis
by: Zhai, Wei, et al.
Published: (2024)
by: Zhai, Wei, et al.
Published: (2024)
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
by: Bombari, Simone, et al.
Published: (2024)
by: Bombari, Simone, et al.
Published: (2024)
Dense vs Sparse Pretraining at Tiny Scale: Active-Parameter vs Total-Parameter Matching
by: Wael, Abdalrahman
Published: (2026)
by: Wael, Abdalrahman
Published: (2026)
SmartBench: Is Your LLM Truly a Good Chinese Smartphone Assistant?
by: Lu, Xudong, et al.
Published: (2025)
by: Lu, Xudong, et al.
Published: (2025)
Graph-based Confidence Calibration for Large Language Models
by: Li, Yukun, et al.
Published: (2024)
by: Li, Yukun, et al.
Published: (2024)
Pre-trained Large Language Models Use Fourier Features to Compute Addition
by: Zhou, Tianyi, et al.
Published: (2024)
by: Zhou, Tianyi, et al.
Published: (2024)
PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning
by: Chen, Xiaoyi, et al.
Published: (2026)
by: Chen, Xiaoyi, et al.
Published: (2026)
FoNE: Precise Single-Token Number Embeddings via Fourier Features
by: Zhou, Tianyi, et al.
Published: (2025)
by: Zhou, Tianyi, et al.
Published: (2025)
Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations
by: Ding, Yuyang, et al.
Published: (2025)
by: Ding, Yuyang, et al.
Published: (2025)
ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine
by: Chen, Junying, et al.
Published: (2025)
by: Chen, Junying, et al.
Published: (2025)
Latent learning: episodic memory complements parametric learning by enabling flexible reuse of experiences
by: Lampinen, Andrew Kyle, et al.
Published: (2025)
by: Lampinen, Andrew Kyle, et al.
Published: (2025)
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning
by: Jia, Jinghan, et al.
Published: (2024)
by: Jia, Jinghan, et al.
Published: (2024)
Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
by: Yang, Junjie, et al.
Published: (2025)
by: Yang, Junjie, et al.
Published: (2025)
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
by: Li, Yuhui, et al.
Published: (2024)
by: Li, Yuhui, et al.
Published: (2024)
Memorization vs. Reasoning: Updating LLMs with New Knowledge
by: Li, Aochong Oliver, et al.
Published: (2025)
by: Li, Aochong Oliver, et al.
Published: (2025)
LoRA vs Full Fine-tuning: An Illusion of Equivalence
by: Shuttleworth, Reece, et al.
Published: (2024)
by: Shuttleworth, Reece, et al.
Published: (2024)
Optimal Stopping vs Best-of-$N$ for Inference Time Optimization
by: Kalayci, Yusuf, et al.
Published: (2025)
by: Kalayci, Yusuf, et al.
Published: (2025)
LLM Unlearning Reveals a Stronger-Than-Expected Coreset Effect in Current Benchmarks
by: Pal, Soumyadeep, et al.
Published: (2025)
by: Pal, Soumyadeep, et al.
Published: (2025)
Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection
by: Li, Jerry, et al.
Published: (2025)
by: Li, Jerry, et al.
Published: (2025)
Attention-aware semantic relevance predicting Chinese sentence reading
by: Sun, Kun
Published: (2024)
by: Sun, Kun
Published: (2024)
Latent Feature Mining for Predictive Model Enhancement with Large Language Models
by: Li, Bingxuan, et al.
Published: (2024)
by: Li, Bingxuan, et al.
Published: (2024)
Similar Items
-
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
by: Zaghir, Jamil, et al.
Published: (2024) -
Toward Adaptive Reasoning in Large Language Models with Thought Rollback
by: Chen, Sijia, et al.
Published: (2024) -
Deep literature reviews: an application of fine-tuned language models to migration research
by: Iacus, Stefano M., et al.
Published: (2025) -
AIDetx: a compression-based method for identification of machine-learning generated text
by: Almeida, Leonardo, et al.
Published: (2024) -
Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond
by: Fan, Chongyu, et al.
Published: (2025)