Guardado en:
| Autores principales: | Xu, Zhichao, Wu, Zongyu, Zhou, Yun, Feng, Aosong, Zhou, Kang, Woo, Sangmin, Ramnath, Kiran, Tian, Yijun, Qi, Xuan, Qiu, Weikang, Cheong, Lin Lee, Ding, Haibo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.13272 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning to Ideate for Machine Learning Engineering Agents
por: Zhang, Yunxiang, et al.
Publicado: (2026)
por: Zhang, Yunxiang, et al.
Publicado: (2026)
CSPLADE: Learned Sparse Retrieval with Causal Language Models
por: Xu, Zhichao, et al.
Publicado: (2025)
por: Xu, Zhichao, et al.
Publicado: (2025)
Diffusion Language Model Inference with Monte Carlo Tree Search
por: Huang, Zheng, et al.
Publicado: (2025)
por: Huang, Zheng, et al.
Publicado: (2025)
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
por: Yuan, Bo, et al.
Publicado: (2026)
por: Yuan, Bo, et al.
Publicado: (2026)
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
por: Woo, Sangmin, et al.
Publicado: (2025)
por: Woo, Sangmin, et al.
Publicado: (2025)
An Empirical Study of Automating Agent Evaluation
por: Zhou, Kang, et al.
Publicado: (2026)
por: Zhou, Kang, et al.
Publicado: (2026)
A Systematic Survey of Automatic Prompt Optimization Techniques
por: Ramnath, Kiran, et al.
Publicado: (2025)
por: Ramnath, Kiran, et al.
Publicado: (2025)
RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation
por: Xu, Zhichao, et al.
Publicado: (2025)
por: Xu, Zhichao, et al.
Publicado: (2025)
Learning to Reason without External Rewards
por: Zhao, Xuandong, et al.
Publicado: (2025)
por: Zhao, Xuandong, et al.
Publicado: (2025)
From Faithfulness to Correctness: Generative Reward Models that Think Critically
por: Ma, Qiyao, et al.
Publicado: (2025)
por: Ma, Qiyao, et al.
Publicado: (2025)
Reason and Verify: A Framework for Faithful Retrieval-Augmented Generation
por: Khan, Eeham, et al.
Publicado: (2026)
por: Khan, Eeham, et al.
Publicado: (2026)
MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding
por: Qiu, Weikang, et al.
Publicado: (2025)
por: Qiu, Weikang, et al.
Publicado: (2025)
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control
por: Feng, Aosong, et al.
Publicado: (2024)
por: Feng, Aosong, et al.
Publicado: (2024)
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
por: Feng, Aosong, et al.
Publicado: (2025)
por: Feng, Aosong, et al.
Publicado: (2025)
Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization
por: Mei, Xiaoyong, et al.
Publicado: (2026)
por: Mei, Xiaoyong, et al.
Publicado: (2026)
Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation
por: Gao, Linfeng, et al.
Publicado: (2025)
por: Gao, Linfeng, et al.
Publicado: (2025)
Privacy-Preserving Reasoning with Knowledge-Distilled Parametric Retrieval Augmented Generation
por: Chen, Jinwen, et al.
Publicado: (2025)
por: Chen, Jinwen, et al.
Publicado: (2025)
CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
por: Tian, Wei, et al.
Publicado: (2026)
por: Tian, Wei, et al.
Publicado: (2026)
PRISM: A Unified Framework for Post-Training LLMs Without Verifiable Rewards
por: Ghimire, Mukesh, et al.
Publicado: (2026)
por: Ghimire, Mukesh, et al.
Publicado: (2026)
Corrective Retrieval Augmented Generation
por: Yan, Shi-Qi, et al.
Publicado: (2024)
por: Yan, Shi-Qi, et al.
Publicado: (2024)
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous Data
por: Biswas, Biplob, et al.
Publicado: (2024)
por: Biswas, Biplob, et al.
Publicado: (2024)
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning
por: Zhu, Jiachen, et al.
Publicado: (2025)
por: Zhu, Jiachen, et al.
Publicado: (2025)
Topology of Reasoning: Retrieved Cell Complex-Augmented Generation for Textual Graph Question Answering
por: Zhao, Sen, et al.
Publicado: (2026)
por: Zhao, Sen, et al.
Publicado: (2026)
RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models
por: Tran, Hieu, et al.
Publicado: (2024)
por: Tran, Hieu, et al.
Publicado: (2024)
RAIR: Retrieval-Augmented Iterative Refinement for Chinese Spelling Correction
por: Liang, Junhong, et al.
Publicado: (2025)
por: Liang, Junhong, et al.
Publicado: (2025)
Retrieval Augmented Spelling Correction for E-Commerce Applications
por: Guo, Xuan, et al.
Publicado: (2024)
por: Guo, Xuan, et al.
Publicado: (2024)
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
por: Zhang, Qinggang, et al.
Publicado: (2025)
por: Zhang, Qinggang, et al.
Publicado: (2025)
Zero-shot Graph Reasoning via Retrieval Augmented Framework with LLMs
por: Li, Hanqing, et al.
Publicado: (2025)
por: Li, Hanqing, et al.
Publicado: (2025)
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding
por: Sun, Zhongxiang, et al.
Publicado: (2025)
por: Sun, Zhongxiang, et al.
Publicado: (2025)
Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
por: Samarinas, Chris, et al.
Publicado: (2026)
por: Samarinas, Chris, et al.
Publicado: (2026)
RAC: Retrieval-Augmented Clarification for Faithful Conversational Search
por: Kebir, Ahmed Rayane, et al.
Publicado: (2026)
por: Kebir, Ahmed Rayane, et al.
Publicado: (2026)
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
por: Xiong, Guangzhi, et al.
Publicado: (2025)
por: Xiong, Guangzhi, et al.
Publicado: (2025)
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation
por: Wu, Di, et al.
Publicado: (2024)
por: Wu, Di, et al.
Publicado: (2024)
LAMA-UT: Language Agnostic Multilingual ASR through Orthography Unification and Language-Specific Transliteration
por: Lee, Sangmin, et al.
Publicado: (2024)
por: Lee, Sangmin, et al.
Publicado: (2024)
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignment
por: Jin, Zhuoran, et al.
Publicado: (2024)
por: Jin, Zhuoran, et al.
Publicado: (2024)
RepAugment: Input-Agnostic Representation-Level Augmentation for Respiratory Sound Classification
por: Kim, June-Woo, et al.
Publicado: (2024)
por: Kim, June-Woo, et al.
Publicado: (2024)
Dynamic Reward Design
por: Liu, Yijun
Publicado: (2025)
por: Liu, Yijun
Publicado: (2025)
Order Doesn't Matter, But Reasoning Does: Training LLMs with Order-Centric Augmentation
por: He, Qianxi, et al.
Publicado: (2025)
por: He, Qianxi, et al.
Publicado: (2025)
CLEAR: Context Augmentation from Contrastive Learning of Experience via Agentic Reflection
por: Liu, Linbo, et al.
Publicado: (2026)
por: Liu, Linbo, et al.
Publicado: (2026)
AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
por: Jia, Mengzhao, et al.
Publicado: (2025)
por: Jia, Mengzhao, et al.
Publicado: (2025)
Ejemplares similares
-
Learning to Ideate for Machine Learning Engineering Agents
por: Zhang, Yunxiang, et al.
Publicado: (2026) -
CSPLADE: Learned Sparse Retrieval with Causal Language Models
por: Xu, Zhichao, et al.
Publicado: (2025) -
Diffusion Language Model Inference with Monte Carlo Tree Search
por: Huang, Zheng, et al.
Publicado: (2025) -
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
por: Yuan, Bo, et al.
Publicado: (2026) -
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
por: Woo, Sangmin, et al.
Publicado: (2025)