Copertina

Contrastive Learning to Improve Retrieval for Real-world Fact Checking

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sriram, Aniruddh, Xu, Fangyuan, Choi, Eunsol, Durrett, Greg
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PropMEND: Hypernetworks for Knowledge Propagation in LLMs
di: Liu, Zeyu Leo, et al.
Pubblicazione: (2025)

SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
di: Divekar, Abhishek, et al.
Pubblicazione: (2024)

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
di: Tang, Liyan, et al.
Pubblicazione: (2024)

Complex Claim Verification with Evidence Retrieved in the Wild
di: Chen, Jifan, et al.
Pubblicazione: (2023)

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment
di: Lake, Thom, et al.
Pubblicazione: (2024)

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
di: Gunjal, Anisha, et al.
Pubblicazione: (2024)

Adaptive Margin RLHF via Preference over Preferences
di: Chittepu, Yaswanth, et al.
Pubblicazione: (2025)

Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals
di: Opsahl, Tobias A.
Pubblicazione: (2024)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
di: Sawczyn, Albert, et al.
Pubblicazione: (2025)

Exploring Design Choices for Building Language-Specific LLMs
di: Tejaswi, Atula, et al.
Pubblicazione: (2024)

Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checking
di: Akhtar, Mubashara, et al.
Pubblicazione: (2024)

LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems
di: Leite, João A., et al.
Pubblicazione: (2026)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
di: Fadeeva, Ekaterina, et al.
Pubblicazione: (2024)

Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
di: Rahman, Subhey Sadi, et al.
Pubblicazione: (2025)

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving
di: Thakur, Amitayush, et al.
Pubblicazione: (2025)

Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
di: Mujahid, Zain Muhammad, et al.
Pubblicazione: (2025)

Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts
di: Gupta, Raavi, et al.
Pubblicazione: (2025)

Memorization-Compression Cycles Improve Generalization
di: Yu, Fangyuan
Pubblicazione: (2025)

MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
di: Abootorabi, Mohammad Mahdi, et al.
Pubblicazione: (2025)

Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5
di: Choi, Jeho
Pubblicazione: (2025)

CaLMQA: Exploring culturally specific long-form question answering across 23 languages
di: Arora, Shane, et al.
Pubblicazione: (2024)

Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
di: Eldifrawi, Islam, et al.
Pubblicazione: (2024)

PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles
di: Gundabathula, Satya Kesav, et al.
Pubblicazione: (2024)

Improving Large Language Model Safety with Contrastive Representation Learning
di: Simko, Samuel, et al.
Pubblicazione: (2025)

FIRE: Fact-checking with Iterative Retrieval and Verification
di: Xie, Zhuohan, et al.
Pubblicazione: (2024)

FactLens: Benchmarking Fine-Grained Fact Verification
di: Mitra, Kushan, et al.
Pubblicazione: (2024)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
di: Seo, Wooseok, et al.
Pubblicazione: (2025)

From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data
di: Xiong, Zheyang, et al.
Pubblicazione: (2024)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
di: Sprague, Zayne, et al.
Pubblicazione: (2024)

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
di: Zheng, Yuxiang, et al.
Pubblicazione: (2025)

Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation
di: Phan, Phuc, et al.
Pubblicazione: (2024)

PromptMind Team at EHRSQL-2024: Improving Reliability of SQL Generation using Ensemble LLMs
di: Gundabathula, Satya K, et al.
Pubblicazione: (2024)

Scaling Rich Style-Prompted Text-to-Speech Datasets
di: Diwan, Anuj, et al.
Pubblicazione: (2025)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
di: Yang, Shuo, et al.
Pubblicazione: (2025)

ClaimCheck: Real-Time Fact-Checking with Small Language Models
di: Putta, Akshith Reddy, et al.
Pubblicazione: (2025)

CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
di: Putta, Akshith Reddy, et al.
Pubblicazione: (2026)

CoRet: Improved Retriever for Code Editing
di: Fehr, Fabio, et al.
Pubblicazione: (2025)

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
di: Zhuang, Chengxu, et al.
Pubblicazione: (2024)

Context-Enhanced Contrastive Search for Improved LLM Text Generation
di: Sen, Jaydip, et al.
Pubblicazione: (2025)

Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
di: Li, Junliang, et al.
Pubblicazione: (2025)