:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chang, Tyler A., Rajagopal, Dheeraj, Bolukbasi, Tolga, Dixon, Lucas, Tenney, Ian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	https://arxiv.org/abs/2410.17413
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
di: Kahng, Minsuk, et al.
Pubblicazione: (2024)

How Far Can We Extract Diverse Perspectives from Large Language Models?
di: Hayati, Shirley Anugrah, et al.
Pubblicazione: (2023)

Interactive Prompt Debugging with Sequence Salience
di: Tenney, Ian, et al.
Pubblicazione: (2024)

Steering off Course: Reliability Challenges in Steering Language Models
di: Da Silva, Patrick Queiroz, et al.
Pubblicazione: (2025)

Unsupervised Pretraining for Fact Verification by Language Model Distillation
di: Bazaga, Adrián, et al.
Pubblicazione: (2023)

Facts in Stats: Impacts of Pretraining Diversity on Language Model Generalization
di: Behnia, Tina, et al.
Pubblicazione: (2025)

A Study on Hidden Layer Distillation for Large Language Model Pre-Training
di: Guigon, Maxime, et al.
Pubblicazione: (2026)

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
di: Yu, Huimu, et al.
Pubblicazione: (2024)

Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals
di: Ortu, Francesco, et al.
Pubblicazione: (2024)

Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation
di: Yang, Ruixin, et al.
Pubblicazione: (2024)

Tracing Facts or just Copies? A critical investigation of the Competitions of Mechanisms in Large Language Models
di: Campregher, Dante, et al.
Pubblicazione: (2025)

Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models
di: Mekala, Dheeraj, et al.
Pubblicazione: (2024)

Logical Consistency of Large Language Models in Fact-checking
di: Ghosh, Bishwamittra, et al.
Pubblicazione: (2024)

Scaling Laws for Fact Memorization of Large Language Models
di: Lu, Xingyu, et al.
Pubblicazione: (2024)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
di: Yang, Linyao, et al.
Pubblicazione: (2023)

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
di: Zhao, Xin, et al.
Pubblicazione: (2024)

On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"
di: Dotsinski, Asen, et al.
Pubblicazione: (2025)

Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models
di: Guo, Pei-Fu, et al.
Pubblicazione: (2026)

The Perils & Promises of Fact-checking with Large Language Models
di: Quelle, Dorian, et al.
Pubblicazione: (2023)

Kongzi: A Historical Large Language Model with Fact Enhancement
di: Yang, Jiashu, et al.
Pubblicazione: (2025)

How Do Large Language Models Acquire Factual Knowledge During Pretraining?
di: Chang, Hoyeon, et al.
Pubblicazione: (2024)

Scalable Fact-checking with Human-in-the-Loop
di: Yang, Jing, et al.
Pubblicazione: (2021)

Tracing the Representation Geometry of Language Models from Pretraining to Post-training
di: Li, Melody Zixuan, et al.
Pubblicazione: (2025)

Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics
di: Chang, Tyler A., et al.
Pubblicazione: (2024)

Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models
di: Chang, Tyler A., et al.
Pubblicazione: (2025)

On Large Language Models' Hallucination with Regard to Known Facts
di: Jiang, Che, et al.
Pubblicazione: (2024)

Fine-Tuned Large Language Models for Logical Translation: Reducing Hallucinations with Lang2Logic
di: Pan, Muyu, et al.
Pubblicazione: (2025)

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
di: He, Jiayi, et al.
Pubblicazione: (2025)

TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
di: Chang, Shenxu, et al.
Pubblicazione: (2025)

Generative Large Language Models in Automated Fact-Checking: A Survey
di: Vykopal, Ivan, et al.
Pubblicazione: (2024)

Automated Fact-Checking of Climate Change Claims with Large Language Models
di: Leippold, Markus, et al.
Pubblicazione: (2024)

Large Language Models for Multilingual Previously Fact-Checked Claim Detection
di: Vykopal, Ivan, et al.
Pubblicazione: (2025)

Pretraining Large Language Models with NVFP4
di: NVIDIA, et al.
Pubblicazione: (2025)

The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining
di: Shao, Jiandong, et al.
Pubblicazione: (2026)

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

Goldfish: Monolingual Language Models for 350 Languages
di: Chang, Tyler A., et al.
Pubblicazione: (2024)

Fact or Guesswork? Evaluating Large Language Models' Medical Knowledge with Structured One-Hop Judgments
di: Li, Jiaxi, et al.
Pubblicazione: (2025)

Beyond Facts: Evaluating Intent Hallucination in Large Language Models
di: Hao, Yijie, et al.
Pubblicazione: (2025)

Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
di: Feng, Jiahai, et al.
Pubblicazione: (2024)

FASTTRACK: Fast and Accurate Fact Tracing for LLMs
di: Chen, Si, et al.
Pubblicazione: (2024)