Image de couverture de livre

Verifying the Robustness of Automatic Credibility Assessment

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Przybyła, Piotr, Shvets, Alexander, Saggion, Horacio
Format:	Preprint
Publié:	2023
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
par: Przybyła, Piotr, et autres
Publié: (2024)

PolQA: Polish Question Answering Dataset
par: Rybak, Piotr, et autres
Publié: (2022)

Deanthropomorphising NLP: Can a Language Model Be Conscious?
par: Shardlow, Matthew, et autres
Publié: (2022)

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision
par: Adila, Dyah, et autres
Publié: (2025)

Towards Trustworthy Lexical Simplification: Exploring Safety and Efficiency with Small LLMs
par: Hayakawa, Akio, et autres
Publié: (2025)

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
par: Oh, Jio, et autres
Publié: (2024)

Continuously Learning New Words in Automatic Speech Recognition
par: Huber, Christian, et autres
Publié: (2024)

Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
par: Elgabry, Menna, et autres
Publié: (2025)

Context Biasing for Pronunciation-Orthography Mismatch in Automatic Speech Recognition
par: Huber, Christian, et autres
Publié: (2025)

AutoPyVerifier: Learning Compact Executable Verifiers for Large Language Model Outputs
par: Pezeshkpour, Pouya, et autres
Publié: (2026)

Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
par: Gong, Yue, et autres
Publié: (2025)

Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signals
par: Leite, João A., et autres
Publié: (2023)

VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiers
par: Qi, Jianing, et autres
Publié: (2024)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
par: Seo, Wooseok, et autres
Publié: (2025)

Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question Answering
par: Schwabe, Tim, et autres
Publié: (2025)

On the Ability of Transformers to Verify Plans
par: Sarrof, Yash, et autres
Publié: (2026)

Investigating Automatic Scoring and Feedback using Large Language Models
par: Katuka, Gloria Ashiya, et autres
Publié: (2024)

SCI-Verifier: Scientific Verifier with Thinking
par: Zheng, Shenghe, et autres
Publié: (2025)

Reinforcing General Reasoning without Verifiers
par: Zhou, Xiangxin, et autres
Publié: (2025)

CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer
par: Wilam, Piotr
Publié: (2026)

vCache: Verified Semantic Prompt Caching
par: Schroeder, Luis Gaspar, et autres
Publié: (2025)

On the Query Complexity of Verifier-Assisted Language Generation
par: Botta, Edoardo, et autres
Publié: (2025)

FUSE: Ensembling Verifiers with Zero Labeled Data
par: Lee, Joonhyuk, et autres
Publié: (2026)

AutoPSV: Automated Process-Supervised Verifier
par: Lu, Jianqiao, et autres
Publié: (2024)

From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
par: Huang, Yuzhen, et autres
Publié: (2025)

Blockwise Advantage Estimation for Multi-Objective RL with Verifiable Rewards
par: Pavlenko, Kirill, et autres
Publié: (2026)

FlagEval Findings Report: A Preliminary Evaluation of Large Reasoning Models on Automatically Verifiable Textual and Visual Questions
par: Qin, Bowen, et autres
Publié: (2025)

Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics
par: Godbole, Ameya, et autres
Publié: (2025)

References Improve LLM Alignment in Non-Verifiable Domains
par: Shi, Kejian, et autres
Publié: (2026)

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
par: Tang, Xinyu, et autres
Publié: (2025)

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
par: Setlur, Amrith, et autres
Publié: (2024)

Let it Calm: Exploratory Annealed Decoding for Verifiable Reinforcement Learning
par: Yang, Chenghao, et autres
Publié: (2025)

A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models
par: Srba, Ivan, et autres
Publié: (2024)

Automatic Functional Differentiation in JAX
par: Lin, Min
Publié: (2023)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
par: Zhu, Zhaowei, et autres
Publié: (2023)

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
par: Yan, Kai, et autres
Publié: (2026)

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
par: Huang, Guanhua, et autres
Publié: (2025)

The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
par: Bou, Matthieu, et autres
Publié: (2025)

A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024
par: Thompson, Horacio, et autres
Publié: (2024)

OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification
par: Wu, Zijian, et autres
Publié: (2025)