Copertina

GRACE: Discriminator-Guided Chain-of-Thought Reasoning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Khalifa, Muhammad, Logeswaran, Lajanugen, Lee, Moontae, Lee, Honglak, Wang, Lu
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation
di: Khalifa, Muhammad, et al.
Pubblicazione: (2026)

Process Reward Models That Think
di: Khalifa, Muhammad, et al.
Pubblicazione: (2025)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning
di: Zhang, Yunxiang, et al.
Pubblicazione: (2024)

SPRIG: Improving Large Language Model Performance by System Prompt Optimization
di: Zhang, Lechen, et al.
Pubblicazione: (2024)

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
di: Zheng, Mingqian, et al.
Pubblicazione: (2023)

Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
di: Kim, Jaekyeom, et al.
Pubblicazione: (2024)

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
di: Shen, Siqi, et al.
Pubblicazione: (2025)

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
di: Shen, Siqi, et al.
Pubblicazione: (2024)

Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages
di: Zhang, Lechen, et al.
Pubblicazione: (2025)

MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
di: Zhang, Yunxiang, et al.
Pubblicazione: (2025)

Visual Test-time Scaling for GUI Agent Grounding
di: Luo, Tiange, et al.
Pubblicazione: (2025)

You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
di: Shu, Bangzhao, et al.
Pubblicazione: (2023)

Selective LoRA for Visual Tokens and Attention Heads
di: Luo, Tiange, et al.
Pubblicazione: (2025)

Scaling Web Agent Training through Automatic Data Generation and Fine-grained Evaluation
di: Logeswaran, Lajanugen, et al.
Pubblicazione: (2026)

Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
di: Jang, Yunseok, et al.
Pubblicazione: (2025)

Source-Aware Training Enables Knowledge Attribution in Language Models
di: Khalifa, Muhammad, et al.
Pubblicazione: (2024)

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
di: Lee, Seongyun, et al.
Pubblicazione: (2026)

If You Can't Use Them, Recycle Them: Optimizing Merging at Scale Mitigates Performance Tradeoffs
di: Khalifa, Muhammad, et al.
Pubblicazione: (2024)

DICE: Structured Reasoning in LLMs through SLM-Guided Chain-of-Thought Correction
di: Li, Yiqi, et al.
Pubblicazione: (2025)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
di: Ma, Luyi, et al.
Pubblicazione: (2025)

Value-Guided Search for Efficient Chain-of-Thought Reasoning
di: Wang, Kaiwen, et al.
Pubblicazione: (2025)

Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
di: Lee, Jooyoung, et al.
Pubblicazione: (2024)

AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
di: Fu, Yao, et al.
Pubblicazione: (2024)

Latent Chain-of-Thought for Visual Reasoning
di: Sun, Guohao, et al.
Pubblicazione: (2025)

Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation
di: Wang, Yu, et al.
Pubblicazione: (2024)

LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
di: Xu, Zifan, et al.
Pubblicazione: (2023)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
di: Zhang, Yunxiang, et al.
Pubblicazione: (2025)

Understanding Reasoning in Chain-of-Thought from the Hopfieldian View
di: Hu, Lijie, et al.
Pubblicazione: (2024)

How does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding
di: Chen, Xi, et al.
Pubblicazione: (2025)

The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning
di: Chen, Qiguang, et al.
Pubblicazione: (2026)

CAC-CoT: Connector-Aware Compact Chain-of-Thought for Efficient Reasoning Data Synthesis Across Dual-System Cognitive Tasks
di: Choi, Sunguk, et al.
Pubblicazione: (2025)

Markov Chain of Thought for Efficient Mathematical Reasoning
di: Yang, Wen, et al.
Pubblicazione: (2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection
di: Lee, Kyungjae, et al.
Pubblicazione: (2024)

Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization
di: Wang, Jiecong, et al.
Pubblicazione: (2026)

Reason Like a Radiologist: Chain-of-Thought and Reinforcement Learning for Verifiable Report Generation
di: Jing, Peiyuan, et al.
Pubblicazione: (2025)

DRT: Deep Reasoning Translation via Long Chain-of-Thought
di: Wang, Jiaan, et al.
Pubblicazione: (2024)

Fractured Chain-of-Thought Reasoning
di: Liao, Baohao, et al.
Pubblicazione: (2025)

ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
di: Xiong, Xuan, et al.
Pubblicazione: (2026)

Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer
di: Lu, Wenquan, et al.
Pubblicazione: (2025)

Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
di: Zhao, Xufeng, et al.
Pubblicazione: (2023)