Enregistré dans:
| Auteurs principaux: | Spreafico, Matteo, Tassini, Ludovica, Sancricca, Camilla, Cappiello, Cinzia |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2511.21708 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
How Well Do Large Language Models Truly Ground?
par: Lee, Hyunji, et autres
Publié: (2023)
par: Lee, Hyunji, et autres
Publié: (2023)
How do Large Language Models Handle Multilingualism?
par: Zhao, Yiran, et autres
Publié: (2024)
par: Zhao, Yiran, et autres
Publié: (2024)
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
par: Huang, Xu, et autres
Publié: (2024)
par: Huang, Xu, et autres
Publié: (2024)
Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models
par: Tang, Xushuo, et autres
Publié: (2025)
par: Tang, Xushuo, et autres
Publié: (2025)
DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
par: Li, Zherui, et autres
Publié: (2025)
par: Li, Zherui, et autres
Publié: (2025)
LP Data Pipeline: Lightweight, Purpose-driven Data Pipeline for Large Language Models
par: Kim, Yungi, et autres
Publié: (2024)
par: Kim, Yungi, et autres
Publié: (2024)
Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations
par: Aravindan, Ashwath Vaithinathan, et autres
Publié: (2026)
par: Aravindan, Ashwath Vaithinathan, et autres
Publié: (2026)
Are Large Language Models the New Interface for Data Pipelines?
par: Junior, Sylvio Barbon, et autres
Publié: (2024)
par: Junior, Sylvio Barbon, et autres
Publié: (2024)
Reasoning, Code, or Both? How Large Language Models Handle Variations in Math Questions
par: Kutakh, Matthew
Publié: (2026)
par: Kutakh, Matthew
Publié: (2026)
How Well Do LLMs Understand Tunisian Arabic?
par: Mahdi, Mohamed
Publié: (2025)
par: Mahdi, Mohamed
Publié: (2025)
"Lost-in-the-Later": Framework for Quantifying Contextual Grounding in Large Language Models
par: Tao, Yufei, et autres
Publié: (2025)
par: Tao, Yufei, et autres
Publié: (2025)
A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
par: Zhang, Qiyuan, et autres
Publié: (2025)
par: Zhang, Qiyuan, et autres
Publié: (2025)
ToxiLab: How Well Do Open-Source LLMs Generate Synthetic Toxicity Data?
par: Hui, Zheng, et autres
Publié: (2024)
par: Hui, Zheng, et autres
Publié: (2024)
How does a Multilingual LM Handle Multiple Languages?
par: Kakarla, Santhosh, et autres
Publié: (2025)
par: Kakarla, Santhosh, et autres
Publié: (2025)
Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling
par: Zeng, Jiayi, et autres
Publié: (2025)
par: Zeng, Jiayi, et autres
Publié: (2025)
Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data Pipelines
par: Song, Hwanjun
Publié: (2026)
par: Song, Hwanjun
Publié: (2026)
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions
par: Mohammadi, Seyedali, et autres
Publié: (2024)
par: Mohammadi, Seyedali, et autres
Publié: (2024)
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
par: Lee, Seongyun, et autres
Publié: (2026)
par: Lee, Seongyun, et autres
Publié: (2026)
Lost in the Logic: An Evaluation of Large Language Models' Reasoning Capabilities on LSAT Logic Games
par: Malik, Saumya
Publié: (2024)
par: Malik, Saumya
Publié: (2024)
How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect
par: Vemuri, Siddhartha K., et autres
Publié: (2024)
par: Vemuri, Siddhartha K., et autres
Publié: (2024)
How Do Language Models Compose Functions?
par: Khandelwal, Apoorv, et autres
Publié: (2025)
par: Khandelwal, Apoorv, et autres
Publié: (2025)
Do Large Language Models Know How Much They Know?
par: Prato, Gabriele, et autres
Publié: (2025)
par: Prato, Gabriele, et autres
Publié: (2025)
Lost in Execution: On the Multilingual Robustness of Tool Calling in Large Language Models
par: Luo, Zheng, et autres
Publié: (2026)
par: Luo, Zheng, et autres
Publié: (2026)
How Do Humans Write Code? Large Models Do It the Same Way Too
par: Li, Long, et autres
Publié: (2024)
par: Li, Long, et autres
Publié: (2024)
A Large Language Model Pipeline for Breast Cancer Oncology
par: Pool, Tristen, et autres
Publié: (2024)
par: Pool, Tristen, et autres
Publié: (2024)
The Moral Consistency Pipeline: Continuous Ethical Evaluation for Large Language Models
par: Jamshidi, Saeid, et autres
Publié: (2025)
par: Jamshidi, Saeid, et autres
Publié: (2025)
One Instruction Does Not Fit All: How Well Do Embeddings Align Personas and Instructions in Low-Resource Indian Languages?
par: Shah, Arya, et autres
Publié: (2026)
par: Shah, Arya, et autres
Publié: (2026)
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
par: Qin, Zhen, et autres
Publié: (2024)
par: Qin, Zhen, et autres
Publié: (2024)
Do Large Language Models Mirror Cognitive Language Processing?
par: Ren, Yuqi, et autres
Publié: (2024)
par: Ren, Yuqi, et autres
Publié: (2024)
(How) Do Language Models Track State?
par: Li, Belinda Z., et autres
Publié: (2025)
par: Li, Belinda Z., et autres
Publié: (2025)
Do Large Language Models Understand Word Senses?
par: Meconi, Domenico, et autres
Publié: (2025)
par: Meconi, Domenico, et autres
Publié: (2025)
Do Large Language Models Know What They Are Capable Of?
par: Barkan, Casey O., et autres
Publié: (2025)
par: Barkan, Casey O., et autres
Publié: (2025)
Do Influence Functions Work on Large Language Models?
par: Li, Zhe, et autres
Publié: (2024)
par: Li, Zhe, et autres
Publié: (2024)
Do Large Language Models Possess Sensitive to Sentiment?
par: Liu, Yang, et autres
Publié: (2024)
par: Liu, Yang, et autres
Publié: (2024)
Do Large Language Models Solve ARC Visual Analogies Like People Do?
par: Opiełka, Gustaw, et autres
Publié: (2024)
par: Opiełka, Gustaw, et autres
Publié: (2024)
Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines
par: Hassan, Faiza, et autres
Publié: (2025)
par: Hassan, Faiza, et autres
Publié: (2025)
Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models
par: Park, Hyunbyung, et autres
Publié: (2024)
par: Park, Hyunbyung, et autres
Publié: (2024)
Cyber for AI at SemEval-2025 Task 4: Forgotten but Not Lost: The Balancing Act of Selective Unlearning in Large Language Models
par: P, Dinesh Srivasthav, et autres
Publié: (2025)
par: P, Dinesh Srivasthav, et autres
Publié: (2025)
How Large Language Models Need Symbolism
par: Deng, Xiaotie, et autres
Publié: (2025)
par: Deng, Xiaotie, et autres
Publié: (2025)
Playing With AI: How Do State-Of-The-Art Large Language Models Perform in the 1977 Text-Based Adventure Game Zork?
par: Gerrits, Berry
Publié: (2026)
par: Gerrits, Berry
Publié: (2026)
Documents similaires
-
How Well Do Large Language Models Truly Ground?
par: Lee, Hyunji, et autres
Publié: (2023) -
How do Large Language Models Handle Multilingualism?
par: Zhao, Yiran, et autres
Publié: (2024) -
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
par: Huang, Xu, et autres
Publié: (2024) -
Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models
par: Tang, Xushuo, et autres
Publié: (2025) -
DiffuGuard: How Intrinsic Safety is Lost and Found in Diffusion Large Language Models
par: Li, Zherui, et autres
Publié: (2025)