:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Gosal, Gurpreet, Xu, Yishi, Ramakrishnan, Gokul, Joshi, Rituraj, Sheinin, Avraham, Zhiming, Chen, Mishra, Biswajit, Vassilieva, Natalia, Hestness, Joel, Sengupta, Neha, Sahu, Sunil Kumar, Jia, Bokang, Pandit, Onkar, Katipomu, Satheesh, Kamboj, Samta, Ghosh, Samujjwal, Pal, Rahul, Mullah, Parvez, Doraiswamy, Soundar, Chami, Mohamed El Karim, Nakov, Preslav
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2407.12869
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PTPP-Aware Adaptation Scaling Laws: Predicting Domain-Adaptation Performance at Unseen Pre-Training Budgets
di: Goffinet, Etienne, et al.
Pubblicazione: (2025)

Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi
di: Choudhury, Monojit, et al.
Pubblicazione: (2025)

Nomad: Autonomous Exploration and Discovery
di: Jia, Bokang, et al.
Pubblicazione: (2026)

Sherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting
di: Koto, Fajri, et al.
Pubblicazione: (2025)

Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs
di: Bergsma, Shane, et al.
Pubblicazione: (2025)

Power Lines: Scaling Laws for Weight Decay and Batch Size in LLM Pre-training
di: Bergsma, Shane, et al.
Pubblicazione: (2025)

Scaling with Collapse: Efficient and Predictable Training of LLM Families
di: Bergsma, Shane, et al.
Pubblicazione: (2025)

Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
di: Laiyk, Nurkhan, et al.
Pubblicazione: (2025)

DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
di: Ren, Kaixuan, et al.
Pubblicazione: (2025)

From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
di: Sundriyal, Megha, et al.
Pubblicazione: (2023)

Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
di: Alhindi, Tariq, et al.
Pubblicazione: (2023)

Rethinking STS and NLI in Large Language Models
di: Wang, Yuxia, et al.
Pubblicazione: (2023)

CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
di: Orel, Daniil, et al.
Pubblicazione: (2025)

DenoiseRank: Learning to Rank by Diffusion Models
di: Wang, Ying, et al.
Pubblicazione: (2026)

Adapting Fake News Detection to the Era of Large Language Models
di: Su, Jinyan, et al.
Pubblicazione: (2023)

Corpus Poisoning via Approximate Greedy Gradient Descent
di: Su, Jinyan, et al.
Pubblicazione: (2024)

The Information Search
di: Doraiswamy, Uma
Pubblicazione: (2011)

UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
di: Tomar, Raj Vardhan, et al.
Pubblicazione: (2025)

How Does Prefix Matter in Reasoning Model Tuning?
di: Tomar, Raj Vardhan, et al.
Pubblicazione: (2026)

Work‐Related Migration and Couples in Long‐Distance Marriages: Mindfulness, Marital Quality, Satisfaction, and Happiness
di: Samta P. Pandya
Pubblicazione: (2025)

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
di: Bates, Luke, et al.
Pubblicazione: (2025)

MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
di: Elozeiri, Kareem, et al.
Pubblicazione: (2025)

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
di: Thareja, Rushil, et al.
Pubblicazione: (2025)

UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
di: Vashurin, Roman, et al.
Pubblicazione: (2025)

Missci: Reconstructing Fallacies in Misrepresented Science
di: Glockner, Max, et al.
Pubblicazione: (2024)

Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data
di: Ivanov, Petar, et al.
Pubblicazione: (2023)

Multimodal Large Language Models to Support Real-World Fact-Checking
di: Geng, Jiahui, et al.
Pubblicazione: (2024)

Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
di: Rubashevskii, Aleksandr, et al.
Pubblicazione: (2026)

$\texttt{Droid}$: A Resource Suite for AI-Generated Code Detection
di: Orel, Daniil, et al.
Pubblicazione: (2025)

Grounding Fallacies Misrepresenting Scientific Publications in Evidence
di: Glockner, Max, et al.
Pubblicazione: (2024)

MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
di: Agarwal, Siddhant, et al.
Pubblicazione: (2024)

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
di: Su, Jinyan, et al.
Pubblicazione: (2025)

Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control
di: Su, Jinyan, et al.
Pubblicazione: (2025)

On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
di: Ramírez, Guillem, et al.
Pubblicazione: (2020)

Оригинал и карикатура: как британская «профилактическая юстиция» (preventive justice) не приживается на континенте Оторванность от родной почвы выявляет полный абсурд
di: Vassilieva, Elena
Pubblicazione: (2025)

Создание «уязвимых групп» как механизм обхода правовых гарантий и Прав Человека - Кому выгодно «НЕравенство всех перед судом»?
di: Vassilieva, Elena
Pubblicazione: (2025)

Creating "Vulnerable Groups" as a Mechanism to Circumvent Legal Guarantees and Human Rights - Who Benefits from "INequality Before the Law"?
di: Vassilieva, Elena
Pubblicazione: (2025)

Британская модель профилактической юстиции (preventive justice) как новая форма правового подчинения (Claim of Originality)
di: Vassilieva, Elena
Pubblicazione: (2025)

Claim 5 - The Blind Spot of British Law: Judicial Criminalisation Without Realising It
di: Vassilieva, Elena
Pubblicazione: (2025)

От «защиты жертв» к системному вредительству: Превентивный надзор как закрепленный в законе обход процессуальных норм
di: Vassilieva, Elena
Pubblicazione: (2025)