Confidence-Weighted Token Set Cover for Early Hypothesis Pruning in Self-Consistency
Fuente:
arXiv
Saved in:
| Main Authors: | Sultan, Md Arafat, Astudillo, Ramón Fernandez |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
by: Sultan, Md Arafat, et al.
Published: (2024)
by: Sultan, Md Arafat, et al.
Published: (2024)
Self-Refinement of Language Models from External Proxy Metrics Feedback
by: Ramji, Keshav, et al.
Published: (2024)
by: Ramji, Keshav, et al.
Published: (2024)
CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-Consistency
by: Aghazadeh, Ehsan, et al.
Published: (2025)
by: Aghazadeh, Ehsan, et al.
Published: (2025)
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025)
by: Taubenfeld, Amir, et al.
Published: (2025)
Latent Principle Discovery for Language Model Self-Improvement
by: Ramji, Keshav, et al.
Published: (2025)
by: Ramji, Keshav, et al.
Published: (2025)
Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thought
by: Ramji, Keshav, et al.
Published: (2026)
by: Ramji, Keshav, et al.
Published: (2026)
Logical Consistency of Large Language Models in Fact-checking
by: Ghosh, Bishwamittra, et al.
Published: (2024)
by: Ghosh, Bishwamittra, et al.
Published: (2024)
Improving Self Consistency in LLMs through Probabilistic Tokenization
by: Sathe, Ashutosh, et al.
Published: (2024)
by: Sathe, Ashutosh, et al.
Published: (2024)
Latency and Token-Aware Test-Time Compute
by: Huang, Jenny Y., et al.
Published: (2025)
by: Huang, Jenny Y., et al.
Published: (2025)
Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning
by: Xiong, Juming, et al.
Published: (2026)
by: Xiong, Juming, et al.
Published: (2026)
HeadRouter: Dynamic Head-Weight Routing for Task-Adaptive Audio Token Pruning in Large Audio Language Models
by: He, Peize, et al.
Published: (2026)
by: He, Peize, et al.
Published: (2026)
Optimizing Korean-Centric LLMs via Token Pruning
by: Kim, Hoyeol, et al.
Published: (2026)
by: Kim, Hoyeol, et al.
Published: (2026)
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025)
by: Fu, Yao, et al.
Published: (2025)
Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
by: Knappe, Tim, et al.
Published: (2024)
by: Knappe, Tim, et al.
Published: (2024)
ReFIT: Relevance Feedback from a Reranker during Inference
by: Reddy, Revanth Gangi, et al.
Published: (2023)
by: Reddy, Revanth Gangi, et al.
Published: (2023)
TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees
by: Liu, Tianyu, et al.
Published: (2026)
by: Liu, Tianyu, et al.
Published: (2026)
DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations
by: Chauhan, Mohit Singh
Published: (2026)
by: Chauhan, Mohit Singh
Published: (2026)
Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering
by: Li, Yangfu, et al.
Published: (2025)
by: Li, Yangfu, et al.
Published: (2025)
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
by: Wang, Shaobo, et al.
Published: (2025)
by: Wang, Shaobo, et al.
Published: (2025)
Learning to Route LLMs with Confidence Tokens
by: Chuang, Yu-Neng, et al.
Published: (2024)
by: Chuang, Yu-Neng, et al.
Published: (2024)
Slim-SC: Thought Pruning for Efficient Scaling with Self-Consistency
by: Hong, Colin, et al.
Published: (2025)
by: Hong, Colin, et al.
Published: (2025)
HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit
by: Wu, Hao, et al.
Published: (2026)
by: Wu, Hao, et al.
Published: (2026)
Label Confidence Weighted Learning for Target-level Sentence Simplification
by: Qiu, Xinying, et al.
Published: (2024)
by: Qiu, Xinying, et al.
Published: (2024)
Does Self-Attention Need Separate Weights in Transformers?
by: Kowsher, Md, et al.
Published: (2024)
by: Kowsher, Md, et al.
Published: (2024)
Early-Exit and Instant Confidence Translation Quality Estimation
by: Zouhar, Vilém, et al.
Published: (2025)
by: Zouhar, Vilém, et al.
Published: (2025)
DiffuMask: Diffusion Language Model for Token-level Prompt Pruning
by: Zheng, Caleb, et al.
Published: (2026)
by: Zheng, Caleb, et al.
Published: (2026)
Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs
by: Chen, Hanting, et al.
Published: (2025)
by: Chen, Hanting, et al.
Published: (2025)
Token Weighting for Long-Range Language Modeling
by: Helm, Falko, et al.
Published: (2025)
by: Helm, Falko, et al.
Published: (2025)
Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation
by: Valois, Pedro H. V., et al.
Published: (2024)
by: Valois, Pedro H. V., et al.
Published: (2024)
Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning
by: Guo, Yiju, et al.
Published: (2025)
by: Guo, Yiju, et al.
Published: (2025)
SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling
by: Zhao, Anhao, et al.
Published: (2025)
by: Zhao, Anhao, et al.
Published: (2025)
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models
by: Wang, Zekun, et al.
Published: (2023)
by: Wang, Zekun, et al.
Published: (2023)
The First Token Knows: Single-Decode Confidence for Hallucination Detection
by: Gabriel, Mina
Published: (2026)
by: Gabriel, Mina
Published: (2026)
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency
by: Vashurin, Roman, et al.
Published: (2025)
by: Vashurin, Roman, et al.
Published: (2025)
UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking
by: Wu, Hao, et al.
Published: (2026)
by: Wu, Hao, et al.
Published: (2026)
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation
by: Zhao, Jiachen, et al.
Published: (2023)
by: Zhao, Jiachen, et al.
Published: (2023)
Saliency-driven Dynamic Token Pruning for Large Language Models
by: Tao, Yao, et al.
Published: (2025)
by: Tao, Yao, et al.
Published: (2025)
Self-calibration for Language Model Quantization and Pruning
by: Williams, Miles, et al.
Published: (2024)
by: Williams, Miles, et al.
Published: (2024)
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language Models
by: Ye, Weihao, et al.
Published: (2024)
by: Ye, Weihao, et al.
Published: (2024)
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
by: Xiao, Quan, et al.
Published: (2025)
by: Xiao, Quan, et al.
Published: (2025)
Similar Items
-
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
by: Sultan, Md Arafat, et al.
Published: (2024) -
Self-Refinement of Language Models from External Proxy Metrics Feedback
by: Ramji, Keshav, et al.
Published: (2024) -
CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-Consistency
by: Aghazadeh, Ehsan, et al.
Published: (2025) -
Confidence Improves Self-Consistency in LLMs
by: Taubenfeld, Amir, et al.
Published: (2025) -
Latent Principle Discovery for Language Model Self-Improvement
by: Ramji, Keshav, et al.
Published: (2025)