Copertina

P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhong, Wenlin, Liu, Chengyuan, Wu, Yiquan, Tan, Bovin, Sun, Changlong, Wang, Yi, Liu, Xiaozhong, Kuang, Kun
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering
di: Yao, Rujing, et al.
Pubblicazione: (2025)

SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent
di: Zhong, Wenlin, et al.
Pubblicazione: (2026)

AppealCase: A Dataset and Benchmark for Civil Case Appeal Scenarios
di: Huang, Yuting, et al.
Pubblicazione: (2025)

More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs
di: Liu, Chengyuan, et al.
Pubblicazione: (2024)

Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs
di: Liu, Chengyuan, et al.
Pubblicazione: (2024)

Universal Legal Article Prediction via Tight Collaboration between Supervised Classification Model and LLM
di: Chi, Xiao, et al.
Pubblicazione: (2025)

PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs
di: Huang, Yuting, et al.
Pubblicazione: (2026)

Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction
di: Huang, Yuting, et al.
Pubblicazione: (2025)

Evolving Knowledge Distillation with Large Language Models and Active Learning
di: Liu, Chengyuan, et al.
Pubblicazione: (2024)

PubMed Reasoner: Dynamic Reasoning-based Retrieval for Evidence-Grounded Biomedical Question Answering
di: Zhang, Yiqing, et al.
Pubblicazione: (2026)

RETQA: A Large-Scale Open-Domain Tabular Question Answering Dataset for Real Estate Sector
di: Wang, Zhensheng, et al.
Pubblicazione: (2024)

RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU
di: Liu, Chengyuan, et al.
Pubblicazione: (2024)

Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator
di: Liu, Chengyuan, et al.
Pubblicazione: (2024)

ReCoQA: A Benchmark for Tool-Augmented and Multi-Step Reasoning in Real Estate Question and Answering
di: Zhang, Yindong, et al.
Pubblicazione: (2026)

Biomedical Question Answering: A Survey of Approaches and Challenges
di: Jin, Qiao, et al.
Pubblicazione: (2021)

Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering
di: Hu, Yinghao, et al.
Pubblicazione: (2025)

Towards Stepwise Domain Knowledge-Driven Reasoning Optimization and Reflection Improvement
di: Liu, Chengyuan, et al.
Pubblicazione: (2025)

A Speaker Turn-Aware Multi-Task Adversarial Network for Joint User Satisfaction Estimation and Sentiment Analysis
di: Song, Kaisong, et al.
Pubblicazione: (2024)

Reasoning in Trees: Improving Retrieval-Augmented Generation for Multi-Hop Question Answering
di: Shi, Yuling, et al.
Pubblicazione: (2026)

From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction
di: Li, Ang, et al.
Pubblicazione: (2024)

Open Domain Question Answering with Conflicting Contexts
di: Liu, Siyi, et al.
Pubblicazione: (2024)

PARSE: An Open-Domain Reasoning Question Answering Benchmark for Persian
di: Mozafari, Jamshid, et al.
Pubblicazione: (2026)

Generator-Retriever-Generator Approach for Open-Domain Question Answering
di: Abdallah, Abdelrahman, et al.
Pubblicazione: (2023)

Verifiable Rewards Beyond Math and Code: Lightweight Corpus-Grounded Process Supervision for Factual Question Answering
di: Fan, Shicheng, et al.
Pubblicazione: (2026)

WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report
di: Wu, Yiquan, et al.
Pubblicazione: (2026)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
di: Shi, Yucheng, et al.
Pubblicazione: (2024)

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance
di: Zhong, Qihuang, et al.
Pubblicazione: (2025)

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering
di: Xu, Fangzhi, et al.
Pubblicazione: (2024)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
di: Sui, Yuan, et al.
Pubblicazione: (2024)

PDF Retrieval Augmented Question Answering
di: Hoang, Thi Thu Uyen, et al.
Pubblicazione: (2025)

Temporal-Aware Heterogeneous Graph Reasoning with Multi-View Fusion for Temporal Question Answering
di: Wen, Wuzhenghong, et al.
Pubblicazione: (2026)

Exploring Hint Generation Approaches in Open-Domain Question Answering
di: Mozafari, Jamshid, et al.
Pubblicazione: (2024)

DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs
di: Meng, Zijie, et al.
Pubblicazione: (2024)

Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning
di: Yang, Chao-Han Huck, et al.
Pubblicazione: (2025)

Domain-specific Question Answering with Hybrid Search
di: Sultania, Dewang, et al.
Pubblicazione: (2024)

Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
di: Sun, Hongda, et al.
Pubblicazione: (2024)

Retrieval-Augmented Generation for Domain-Specific Question Answering: A Case Study on Pittsburgh and CMU
di: Sun, Haojia, et al.
Pubblicazione: (2024)

Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision
di: Jiang, Fan, et al.
Pubblicazione: (2024)

Retrieval Augmented Generation for Domain-specific Question Answering
di: Sharma, Sanat, et al.
Pubblicazione: (2024)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
di: Wang, Yuqi, et al.
Pubblicazione: (2024)