Copertina

P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Han, Simeng, Yu, Aaron, Shen, Rui, Qi, Zhenting, Riddell, Martin, Zhou, Wenfei, Qiao, Yujie, Zhao, Yilun, Yavuz, Semih, Liu, Ye, Joty, Shafiq, Zhou, Yingbo, Xiong, Caiming, Radev, Dragomir, Ying, Rex, Cohan, Arman
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FOLIO: Natural Language Reasoning with First-Order Logic
di: Han, Simeng, et al.
Pubblicazione: (2022)

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
di: Niu, Tong, et al.
Pubblicazione: (2024)

HPE:Answering Complex Questions over Text by Hybrid Question Parsing and Execution
di: Liu, Ye, et al.
Pubblicazione: (2023)

Investigating Factuality in Long-Form Text Generation: The Roles of Self-Known and Self-Unknown
di: Tu, Lifu, et al.
Pubblicazione: (2024)

CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval
di: Liu, Ye, et al.
Pubblicazione: (2024)

Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
di: Liu, Ye, et al.
Pubblicazione: (2023)

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning
di: Tu, Lifu, et al.
Pubblicazione: (2023)

Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
di: Liu, Yixin, et al.
Pubblicazione: (2023)

Parameter-Efficient Detoxification with Contrastive Decoding
di: Niu, Tong, et al.
Pubblicazione: (2024)

VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?
di: Bansal, Srijan, et al.
Pubblicazione: (2026)

Learning from Language Feedback via Variational Policy Distillation
di: Li, Yang, et al.
Pubblicazione: (2026)

Foundational Automatic Evaluators: Scaling Multi-Task Generative Evaluator Training for Reasoning-Centric Domains
di: Xu, Austin, et al.
Pubblicazione: (2025)

Direct Judgement Preference Optimization
di: Wang, Peifeng, et al.
Pubblicazione: (2024)

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators
di: Zhou, Yilun, et al.
Pubblicazione: (2025)

Retrofitting Small Multilingual Models for Retrieval: Matching 7B Performance with 300M Parameters
di: Tu, Lifu, et al.
Pubblicazione: (2025)

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
di: Xu, Austin, et al.
Pubblicazione: (2025)

MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks
di: Ke, Zixuan, et al.
Pubblicazione: (2026)

SweRank+: Multilingual, Multi-Turn Code Ranking for Software Issue Localization
di: Reddy, Revanth Gangi, et al.
Pubblicazione: (2025)

Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification
di: Liang, Zhenwen, et al.
Pubblicazione: (2024)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
di: Xu, Austin, et al.
Pubblicazione: (2025)

SSR: Socratic Self-Refine for Large Language Model Reasoning
di: Shi, Haizhou, et al.
Pubblicazione: (2025)

SweRank: Software Issue Localization with Code Ranking
di: Reddy, Revanth Gangi, et al.
Pubblicazione: (2025)

MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
di: Venkataramani, Vishal, et al.
Pubblicazione: (2026)

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics
di: Lee, Jinu, et al.
Pubblicazione: (2025)

Table-R1: Inference-Time Scaling for Table Reasoning
di: Yang, Zheyuan, et al.
Pubblicazione: (2025)

Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models
di: Riddell, Martin, et al.
Pubblicazione: (2024)

HYBRIDMIND: Meta Selection of Natural Language and Symbolic Language for Enhanced LLM Reasoning
di: Han, Simeng, et al.
Pubblicazione: (2024)

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing
di: Liu, Hongjun, et al.
Pubblicazione: (2025)

Reasoning Curriculum: Bootstrapping Broad LLM Reasoning from Math
di: Pang, Bo, et al.
Pubblicazione: (2025)

StructTest: Benchmarking LLMs' Reasoning through Compositional Structured Outputs
di: Chen, Hailin, et al.
Pubblicazione: (2024)

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding
di: Tu, Lifu, et al.
Pubblicazione: (2023)

Patient-Similarity Cohort Reasoning in Clinical Text-to-SQL
di: Shen, Yifei, et al.
Pubblicazione: (2026)

LimRank: Less is More for Reasoning-Intensive Information Reranking
di: Song, Tingyu, et al.
Pubblicazione: (2025)

Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning
di: Wang, Jiayu, et al.
Pubblicazione: (2025)

References Improve LLM Alignment in Non-Verifiable Domains
di: Shi, Kejian, et al.
Pubblicazione: (2026)

SciMDR: Advancing Scientific Multimodal Document Reasoning
di: Chen, Ziyu, et al.
Pubblicazione: (2026)

ReIFE: Re-evaluating Instruction-Following Evaluation
di: Liu, Yixin, et al.
Pubblicazione: (2024)

FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains
di: Zhao, Yilun, et al.
Pubblicazione: (2023)

Unlocking Temporal Question Answering for Large Language Models with Tailor-Made Reasoning Logic
di: Li, Xingxuan, et al.
Pubblicazione: (2023)

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems
di: Zhao, Yilun, et al.
Pubblicazione: (2026)