:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Di Bonaventura, Chiara, McGillivray, Barbara, He, Yulan, Meroño-Peñuela, Albert
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.12148
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages
by: Schlechtweg, Dominik, et al.
Published: (2021)

Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
by: Robertson, Alexander, et al.
Published: (2021)

Ascensão e queda do pacto populista em Cuba, 1934-1959
by: Gillian McGillivray
Published: (2012)

Show, Don't Tell: Uncovering Implicit Character Portrayal using LLMs
by: Jaipersaud, Brandon, et al.
Published: (2024)

Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
by: Lu, Taiming, et al.
Published: (2024)

What Can String Probability Tell Us About Grammaticality?
by: Hu, Jennifer, et al.
Published: (2025)

Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes
by: Lucy, Li, et al.
Published: (2025)

Can AI Assistants Know What They Don't Know?
by: Cheng, Qinyuan, et al.
Published: (2024)

NeIn: Telling What You Don't Want
by: Bui, Nhat-Tan, et al.
Published: (2024)

Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
by: Kalluri, Tarun, et al.
Published: (2024)

What Artificial Neural Networks Can Tell Us About Human Language Acquisition
by: Warstadt, Alex, et al.
Published: (2022)

Variance-Hawkes Process and its Application to Energy Markets
by: McGillivray, Joshua, et al.
Published: (2024)

Show, Don't Tell: Evaluating Large Language Models Beyond Textual Understanding with ChildPlay
by: de Carvalho, Gonçalo Hora, et al.
Published: (2024)

Reasoning Models Don't Always Say What They Think
by: Chen, Yanda, et al.
Published: (2025)

User Experience In Dataset Search
by: Zhao, Yihang, et al.
Published: (2024)

Don't Learn, Ground: A Case for Natural Language Inference with Visual Grounding
by: Ignatev, Daniil, et al.
Published: (2025)

Don't Pay Attention
by: Hammoud, Mohammad, et al.
Published: (2025)

Don't Touch My Diacritics
by: Gorman, Kyle, et al.
Published: (2024)

When Words Don't Mean What They Say: Figurative Understanding in Bengali Idioms
by: Sakhawat, Adib, et al.
Published: (2026)

What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts
by: Yang, Chenyang, et al.
Published: (2025)

Convomem Benchmark: Why Your First 150 Conversations Don't Need RAG
by: Pakhomov, Egor, et al.
Published: (2025)

If You Don't Understand It, Don't Use It: Eliminating Trojans with Filters Between Layers
by: Hernandez, Adriano
Published: (2024)

Large Language Models Must Be Taught to Know What They Don't Know
by: Kapoor, Sanyam, et al.
Published: (2024)

Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
by: Shaier, Sagi, et al.
Published: (2023)

Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing
by: Zhao, Raoyuan, et al.
Published: (2025)

EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMs
by: Yeom, Jewon, et al.
Published: (2026)

Don't Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation
by: DiIanni, Colten, et al.
Published: (2025)

Don't Throw Away Your Pretrained Model
by: Feng, Shangbin, et al.
Published: (2025)

Don't Say No: Jailbreaking LLM by Suppressing Refusal
by: Zhou, Yukai, et al.
Published: (2024)

What Language Models Know But Don't Say: Non-Generative Prior Extraction for Generalization
by: Rezaeimanesh, Sara, et al.
Published: (2026)

Think, But Don't Overthink: Reproducing Recursive Language Models
by: Wang, Daren
Published: (2026)

Don't Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical Realism
by: Münker, Simon, et al.
Published: (2025)

Language Models Don't Know What You Want: Evaluating Personalization in Deep Research Needs Real Users
by: Balepur, Nishant, et al.
Published: (2026)

Reasoning Models Reason Well, Until They Don't
by: Rameshkumar, Revanth, et al.
Published: (2025)

How Much Do Circuits Tell Us? Measuring the Consistency and Specificity of Language Model Circuits
by: Li, Michael, et al.
Published: (2026)

What Don't You Understand? Using Large Language Models to Identify and Characterize Student Misconceptions About Challenging Topics
by: Parker, Michael J., et al.
Published: (2026)

Don't Throw Away Data: Better Sequence Knowledge Distillation
by: Wang, Jun, et al.
Published: (2024)

Don't Command, Cultivate: An Exploratory Study of System-2 Alignment
by: Wang, Yuhang, et al.
Published: (2024)

Don't Walk the Line: Boundary Guidance for Filtered Generation
by: Ball, Sarah, et al.
Published: (2025)

Language Models Don't Learn the Physical Manifestation of Language
by: Lee, Bruce W., et al.
Published: (2024)