Recursive Chain-of-Feedback Prevents Performance Degradation from Redundant Prompting
Fuente:
arXiv
Saved in:
| Main Authors: | Ahn, Jinwoo, Shin, Kyuseung |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Think Clearly: Improving Reasoning via Redundant Token Pruning
by: Choi, Daewon, et al.
Published: (2025)
by: Choi, Daewon, et al.
Published: (2025)
Parallel Key-Value Cache Fusion for Position Invariant RAG
by: Oh, Philhoon, et al.
Published: (2025)
by: Oh, Philhoon, et al.
Published: (2025)
Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting
by: Zhao, Xiangyu, et al.
Published: (2024)
by: Zhao, Xiangyu, et al.
Published: (2024)
Training Text-to-Molecule Models with Context-Aware Tokenization
by: Kim, Seojin, et al.
Published: (2025)
by: Kim, Seojin, et al.
Published: (2025)
Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
by: Sun, Shichao, et al.
Published: (2024)
by: Sun, Shichao, et al.
Published: (2024)
Revealing the Role of Audio Channels in ASR Performance Degradation
by: Huang, Kuan-Tang, et al.
Published: (2025)
by: Huang, Kuan-Tang, et al.
Published: (2025)
RedacBench: Can AI Erase Your Secrets?
by: Jeon, Hyunjun, et al.
Published: (2026)
by: Jeon, Hyunjun, et al.
Published: (2026)
CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs
by: Li, Siyi, et al.
Published: (2026)
by: Li, Siyi, et al.
Published: (2026)
Tabular Transfer Learning via Prompting LLMs
by: Nam, Jaehyun, et al.
Published: (2024)
by: Nam, Jaehyun, et al.
Published: (2024)
Prompting Science Report 2: The Decreasing Value of Chain of Thought in Prompting
by: Meincke, Lennart, et al.
Published: (2025)
by: Meincke, Lennart, et al.
Published: (2025)
COTCAgent: Preventive Consultation via Probabilistic Chain-of-Thought Completion
by: Deng, Zihan, et al.
Published: (2026)
by: Deng, Zihan, et al.
Published: (2026)
PLHF: Prompt Optimization with Few-Shot Human Feedback
by: Yang, Chun-Pai, et al.
Published: (2025)
by: Yang, Chun-Pai, et al.
Published: (2025)
General Purpose Verification for Chain of Thought Prompting
by: Vacareanu, Robert, et al.
Published: (2024)
by: Vacareanu, Robert, et al.
Published: (2024)
Can Separators Improve Chain-of-Thought Prompting?
by: Park, Yoonjeong, et al.
Published: (2024)
by: Park, Yoonjeong, et al.
Published: (2024)
GCoT: Chain-of-Thought Prompt Learning for Graphs
by: Yu, Xingtong, et al.
Published: (2025)
by: Yu, Xingtong, et al.
Published: (2025)
SAFEPATH: Preventing Harmful Reasoning in Chain-of-Thought via Early Alignment
by: Jeung, Wonje, et al.
Published: (2025)
by: Jeung, Wonje, et al.
Published: (2025)
Redundancy Principles for MLLMs Benchmarks
by: Zhang, Zicheng, et al.
Published: (2025)
by: Zhang, Zicheng, et al.
Published: (2025)
Implicit Sentiment Analysis Based on Chain of Thought Prompting
by: Duan, Zhihua, et al.
Published: (2024)
by: Duan, Zhihua, et al.
Published: (2024)
Evaluating the Performance of AI Text Detectors, Few-Shot and Chain-of-Thought Prompting Using DeepSeek Generated Text
by: Alshammari, Hulayyil, et al.
Published: (2025)
by: Alshammari, Hulayyil, et al.
Published: (2025)
Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph
by: Zheng, Ziyu, et al.
Published: (2025)
by: Zheng, Ziyu, et al.
Published: (2025)
Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
by: Kim, Dongyoung, et al.
Published: (2024)
by: Kim, Dongyoung, et al.
Published: (2024)
Generative Prompt Internalization
by: Shin, Haebin, et al.
Published: (2024)
by: Shin, Haebin, et al.
Published: (2024)
Recursive Language Models
by: Zhang, Alex L., et al.
Published: (2025)
by: Zhang, Alex L., et al.
Published: (2025)
Multi-Dimensional Prompt Chaining to Improve Open-Domain Dialogue Generation
by: Teng, Livia Leong Hui
Published: (2026)
by: Teng, Livia Leong Hui
Published: (2026)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Measuring the Redundancy of Decoder Layers in SpeechLLMs
by: Moumen, Adel, et al.
Published: (2026)
by: Moumen, Adel, et al.
Published: (2026)
When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models
by: Sadanandan, Binesh, et al.
Published: (2026)
by: Sadanandan, Binesh, et al.
Published: (2026)
Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language Models
by: Zou, Anni, et al.
Published: (2023)
by: Zou, Anni, et al.
Published: (2023)
On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)
by: Cao, Bowen, et al.
Published: (2024)
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
by: Kumar, Shanu, et al.
Published: (2024)
by: Kumar, Shanu, et al.
Published: (2024)
Learning Chain Of Thoughts Prompts for Predicting Entities, Relations, and even Literals on Knowledge Graphs
by: Baci, Alkid, et al.
Published: (2026)
by: Baci, Alkid, et al.
Published: (2026)
Mechanics of Bias and Reasoning: Interpreting the Impact of Chain-of-Thought Prompting on Gender Bias in LLMs
by: Pearman, Edie, et al.
Published: (2026)
by: Pearman, Edie, et al.
Published: (2026)
SpecEdge: Scalable Edge-Assisted Serving Framework for Interactive LLMs
by: Park, Jinwoo, et al.
Published: (2025)
by: Park, Jinwoo, et al.
Published: (2025)
Context Discipline and Performance Correlation: Analyzing LLM Performance and Quality Degradation Under Varying Context Lengths
by: Ponnusamy, Ahilan Ayyachamy Nadar, et al.
Published: (2025)
by: Ponnusamy, Ahilan Ayyachamy Nadar, et al.
Published: (2025)
DeepPrune: Parallel Scaling without Inter-trace Redundancy
by: Tu, Shangqing, et al.
Published: (2025)
by: Tu, Shangqing, et al.
Published: (2025)
Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards
by: Ackermann, Johannes, et al.
Published: (2026)
by: Ackermann, Johannes, et al.
Published: (2026)
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting
by: Beck, Tilman, et al.
Published: (2023)
by: Beck, Tilman, et al.
Published: (2023)
The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval
by: Tong, Zekai, et al.
Published: (2026)
by: Tong, Zekai, et al.
Published: (2026)
Harnessing Chain-of-Thought Metadata for Task Routing and Adversarial Prompt Detection
by: Marinelli, Ryan, et al.
Published: (2025)
by: Marinelli, Ryan, et al.
Published: (2025)
R-KV: Redundancy-aware KV Cache Compression for Reasoning Models
by: Cai, Zefan, et al.
Published: (2025)
by: Cai, Zefan, et al.
Published: (2025)
Similar Items
-
Think Clearly: Improving Reasoning via Redundant Token Pruning
by: Choi, Daewon, et al.
Published: (2025) -
Parallel Key-Value Cache Fusion for Position Invariant RAG
by: Oh, Philhoon, et al.
Published: (2025) -
Prompt Recursive Search: A Living Framework with Adaptive Growth in LLM Auto-Prompting
by: Zhao, Xiangyu, et al.
Published: (2024) -
Training Text-to-Molecule Models with Context-Aware Tokenization
by: Kim, Seojin, et al.
Published: (2025) -
Prompt Chaining or Stepwise Prompt? Refinement in Text Summarization
by: Sun, Shichao, et al.
Published: (2024)