Saved in:
| Main Authors: | Zixiao, Zhu, Zijian, Feng, Hanzhang, Zhou, Junlang, Qian, Kezhi, Mao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.10908 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling and Manipulating Prompt Influence in Large Language Models
by: Feng, Zijian, et al.
Published: (2024)
by: Feng, Zijian, et al.
Published: (2024)
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024)
by: Zhou, Hanzhang, et al.
Published: (2024)
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
by: Zhou, Hanzhang, et al.
Published: (2023)
by: Zhou, Hanzhang, et al.
Published: (2023)
Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction
by: Qian, Junlang, et al.
Published: (2025)
by: Qian, Junlang, et al.
Published: (2025)
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation
by: Feng, Zijian, et al.
Published: (2024)
by: Feng, Zijian, et al.
Published: (2024)
Domain Lexical Knowledge-based Word Embedding Learning for Text Classification under Small Data
by: Zhu, Zixiao, et al.
Published: (2025)
by: Zhu, Zixiao, et al.
Published: (2025)
Fine-Grained Activation Steering: Steering Less, Achieving More
by: Feng, Zijian, et al.
Published: (2026)
by: Feng, Zijian, et al.
Published: (2026)
Rethinking Prompt Optimizers: From Prompt Merits to Optimization
by: Zhu, Zixiao, et al.
Published: (2025)
by: Zhu, Zixiao, et al.
Published: (2025)
On Support Samples of Next Word Prediction
by: Li, Yuqian, et al.
Published: (2025)
by: Li, Yuqian, et al.
Published: (2025)
Restoring Pruned Large Language Models via Lost Component Compensation
by: Feng, Zijian, et al.
Published: (2025)
by: Feng, Zijian, et al.
Published: (2025)
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)
by: Huang, Chengsong, et al.
Published: (2024)
Min-$k$ Sampling: Decoupling Truncation from Temperature Scaling via Relative Logit Dynamics
by: Ding, Yuanhao, et al.
Published: (2026)
by: Ding, Yuanhao, et al.
Published: (2026)
Label Words as Local Task Vectors in In-Context Learning
by: Zheng, Bowen, et al.
Published: (2024)
by: Zheng, Bowen, et al.
Published: (2024)
Rewards as Labels: Revisiting RLVR from a Classification Perspective
by: Zhai, Zepeng, et al.
Published: (2026)
by: Zhai, Zepeng, et al.
Published: (2026)
BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
by: Li, Minchong, et al.
Published: (2024)
by: Li, Minchong, et al.
Published: (2024)
A Grounded Typology of Word Classes
by: Haley, Coleman, et al.
Published: (2024)
by: Haley, Coleman, et al.
Published: (2024)
LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories
by: He, Zirui, et al.
Published: (2025)
by: He, Zirui, et al.
Published: (2025)
LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
by: Wang, Siyuan, et al.
Published: (2025)
by: Wang, Siyuan, et al.
Published: (2025)
Using Context to Improve Word Segmentation
by: Hu, Stephanie, et al.
Published: (2025)
by: Hu, Stephanie, et al.
Published: (2025)
Rapid Word Learning Through Meta In-Context Learning
by: Wang, Wentao, et al.
Published: (2025)
by: Wang, Wentao, et al.
Published: (2025)
CodeDelegator: Mitigating Context Pollution via Role Separation in Code-as-Action Agents
by: Fei, Tianxiang, et al.
Published: (2026)
by: Fei, Tianxiang, et al.
Published: (2026)
VQ-Logits: Compressing the Output Bottleneck of Large Language Models via Vector Quantized Logits
by: Shao, Jintian, et al.
Published: (2025)
by: Shao, Jintian, et al.
Published: (2025)
LogitLens4LLMs: Extending Logit Lens Analysis to Modern Large Language Models
by: Wang, Zhenyu
Published: (2025)
by: Wang, Zhenyu
Published: (2025)
Data Augmentation with In-Context Learning and Comparative Evaluation in Math Word Problem Solving
by: Yigit, Gulsum, et al.
Published: (2024)
by: Yigit, Gulsum, et al.
Published: (2024)
Stabilizing Policy Optimization via Logits Convexity
by: Chen, Hongzhan, et al.
Published: (2026)
by: Chen, Hongzhan, et al.
Published: (2026)
Author-Specific Linguistic Patterns Unveiled: A Deep Learning Study on Word Class Distributions
by: Krauss, Patrick, et al.
Published: (2025)
by: Krauss, Patrick, et al.
Published: (2025)
TAT-R1: Terminology-Aware Translation with Reinforcement Learning and Word Alignment
by: Li, Zheng, et al.
Published: (2025)
by: Li, Zheng, et al.
Published: (2025)
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
by: Tang, Yuwei, et al.
Published: (2024)
by: Tang, Yuwei, et al.
Published: (2024)
GATEAU: Selecting Influential Samples for Long Context Alignment
by: Si, Shuzheng, et al.
Published: (2024)
by: Si, Shuzheng, et al.
Published: (2024)
CoRect: Context-Aware Logit Contrast for Hidden State Rectification to Resolve Knowledge Conflicts
by: Ma, Xuhua, et al.
Published: (2026)
by: Ma, Xuhua, et al.
Published: (2026)
MOSS: Enabling Code-Driven Evolution and Context Management for AI Agents
by: Zhu, Ming, et al.
Published: (2024)
by: Zhu, Ming, et al.
Published: (2024)
Curriculum Demonstration Selection for In-Context Learning
by: Vu, Duc Anh, et al.
Published: (2024)
by: Vu, Duc Anh, et al.
Published: (2024)
Efficient Low-Resource Language Adaptation via Multi-Source Dynamic Logit Fusion
by: Zhang, Chen, et al.
Published: (2026)
by: Zhang, Chen, et al.
Published: (2026)
LogitsCoder: Towards Efficient Chain-of-Thought Path Search via Logits Preference Decoding for Code Generation
by: Chen, Jizheng, et al.
Published: (2026)
by: Chen, Jizheng, et al.
Published: (2026)
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
by: Zeng, Cong, et al.
Published: (2024)
by: Zeng, Cong, et al.
Published: (2024)
Grounding Language Model with Chunking-Free In-Context Retrieval
by: Qian, Hongjin, et al.
Published: (2024)
by: Qian, Hongjin, et al.
Published: (2024)
Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods
by: Blau, Tsachi, et al.
Published: (2024)
by: Blau, Tsachi, et al.
Published: (2024)
Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
by: Anshumann, et al.
Published: (2025)
by: Anshumann, et al.
Published: (2025)
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains
by: Zhu, Chencheng, et al.
Published: (2024)
by: Zhu, Chencheng, et al.
Published: (2024)
Chain-of-Thought Augmentation with Logit Contrast for Enhanced Reasoning in Language Models
by: Shim, Jay, et al.
Published: (2024)
by: Shim, Jay, et al.
Published: (2024)
Similar Items
-
Unveiling and Manipulating Prompt Influence in Large Language Models
by: Feng, Zijian, et al.
Published: (2024) -
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation
by: Zhou, Hanzhang, et al.
Published: (2024) -
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction
by: Zhou, Hanzhang, et al.
Published: (2023) -
Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction
by: Qian, Junlang, et al.
Published: (2025) -
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation
by: Feng, Zijian, et al.
Published: (2024)