Copertina

Learning From Correctness Without Prompting Makes LLM Efficient Reasoner

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Yao, Yuxuan, Wu, Han, Guo, Zhijiang, Zhou, Biyan, Gao, Jiahui, Luo, Sichun, Hou, Hanxu, Fu, Xiaojin, Song, Linqi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation
di: Luo, Sichun, et al.
Pubblicazione: (2025)

Determine-Then-Ensemble: Necessity of Top-k Union for Large Language Model Ensembling
di: Yao, Yuxuan, et al.
Pubblicazione: (2024)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
di: Luo, Sichun, et al.
Pubblicazione: (2025)

RALLRec: Improving Retrieval Augmented Large Language Model Recommendation with Representation Learning
di: Xu, Jian, et al.
Pubblicazione: (2025)

Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery
di: Yao, Yuxuan, et al.
Pubblicazione: (2024)

Privacy in LLM-based Recommendation: Recent Advances and Future Directions
di: Luo, Sichun, et al.
Pubblicazione: (2024)

Merging Beyond: Streaming LLM Updates via Activation-Guided Rotations
di: Yao, Yuxuan, et al.
Pubblicazione: (2026)

Integrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation
di: Luo, Sichun, et al.
Pubblicazione: (2024)

DeReason: A Difficulty-Aware Curriculum Improves Decoupled SFT-then-RL Training for General Reasoning
di: Hu, Hanxu, et al.
Pubblicazione: (2026)

Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
di: Wu, Han, et al.
Pubblicazione: (2025)

Towards Quantum-Safe Federated Learning via Homomorphic Encryption: Learning with Gradients
di: Yan, Guangfeng, et al.
Pubblicazione: (2024)

Improved Quantization Strategies for Managing Heavy-tailed Gradients in Distributed Learning
di: Yan, Guangfeng, et al.
Pubblicazione: (2024)

Accelerating Data Access for Single Node in Distributed Storage Systems via MDS Codes
di: Shi, Hao, et al.
Pubblicazione: (2025)

Reed-Solomon Codes over Cyclic Polynomial Ring with Lower Encoding/Decoding Complexity
di: Liu, Wenhao, et al.
Pubblicazione: (2024)

Error Correction Decoding Algorithms of RS Codes Based on An Earlier Termination Algorithm to Find The Error Locator Polynomial
di: Jiang, Zhengyi, et al.
Pubblicazione: (2024)

Activation-Guided Consensus Merging for Large Language Models
di: Yao, Yuxuan, et al.
Pubblicazione: (2025)

Fine-grained Conversational Decoding via Isotropic and Proximal Search
di: Yao, Yuxuan, et al.
Pubblicazione: (2023)

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Reward Models
di: Zhu, Xiao, et al.
Pubblicazione: (2026)

Learning to Reason with Insight for Informal Theorem Proving
di: Li, Yunhe, et al.
Pubblicazione: (2026)

Redundancy-Optimal Constructions of $(1,1)$-Criss-Cross Deletion Correcting Codes with Efficient Encoding/Decoding Algorithms
di: Liu, Wenhao, et al.
Pubblicazione: (2026)

Routing-Aligned Fine-Tuning for Multilingual Downstream Tasks in Mixture-of-Experts Models
di: Deng, Guanzhi, et al.
Pubblicazione: (2026)

Dezentrale autonome Organisationen (DAOs) und Gesellschaftsrecht
di: Mienert, Biyan
Pubblicazione: (2024)

Chain-of-Thought Reasoning Without Prompting
di: Wang, Xuezhi, et al.
Pubblicazione: (2024)

An energy-efficient spiking neural network with continuous learning for self-adaptive brain-machine interface
di: Biyan, Zhou, et al.
Pubblicazione: (2025)

RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation
di: Luo, Sichun, et al.
Pubblicazione: (2023)

Combining SNNs with Filtering for Efficient Neural Decoding in Implantable Brain-Machine Interfaces
di: Zhou, Biyan, et al.
Pubblicazione: (2023)

Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
di: Yang, Zhicheng, et al.
Pubblicazione: (2026)

When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL
di: Qi, Yijiashun, et al.
Pubblicazione: (2026)

Grid-like Error-Correcting Codes for Matrix Multiplication with Better Correcting Capability
di: Shi, Hao, et al.
Pubblicazione: (2025)

Quillen-Suslin Theorem for connected cochain DG algebras
di: Mao, Xuefeng, et al.
Pubblicazione: (2025)

Integrative Analyses Reveal Sigmohymena gen. nov. and the Ninth Pattern of Undulating Membranes in Hypotrichia (Protista, Ciliophora): Insights From Polygenic Analysis on Undulating Membranes Evolution
di: Qi Gao, et al.
Pubblicazione: (2025)

Efficient enzymatic synthesis of theaflavin and its production mechanism
di: Jinjin Jian, et al.
Pubblicazione: (2024)

Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning
di: Yang, Zhicheng, et al.
Pubblicazione: (2026)

Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning
di: Su, Ying, et al.
Pubblicazione: (2023)

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining
di: Liu, Shuqi, et al.
Pubblicazione: (2024)

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning
di: Jiang, Gangwei, et al.
Pubblicazione: (2025)

Large Language Models are Good Multi-lingual Learners : When LLMs Meet Cross-lingual Prompts
di: Wang, Teng, et al.
Pubblicazione: (2024)

Silent Egress: When Implicit Prompt Injection Makes LLM Agents Leak Without a Trace
di: Lan, Qianlong, et al.
Pubblicazione: (2026)

Meta-Prompt Optimization for LLM-Based Sequential Decision Making
di: Kong, Mingze, et al.
Pubblicazione: (2025)

1bit-Merging: Dynamic Quantized Merging for Large Language Models
di: Liu, Shuqi, et al.
Pubblicazione: (2025)