Copertina

Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bonial, Claire, Bonn, Julia, Madabushi, Harish Tayyar
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
di: Mackintosh, Tom, et al.
Pubblicazione: (2025)

Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors
di: Madabushi, Harish Tayyar, et al.
Pubblicazione: (2025)

FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language Models
di: Madabushi, Harish Tayyar
Pubblicazione: (2024)

Beyond Memorization: Assessing Semantic Generalization in Large Language Models Using Phrasal Constructions
di: Scivetti, Wesley, et al.
Pubblicazione: (2025)

The Inherent Limits of Pretrained LLMs: The Unexpected Convergence of Instruction Tuning and In-Context Learning Capabilities
di: Bigoulaeva, Irina, et al.
Pubblicazione: (2025)

SpeciaLex: A Benchmark for In-Context Specialized Lexicon Learning
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2024)

Scaling Policy Compliance Assessment in Language Models with Policy Reasoning Traces
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2025)

Safer Policy Compliance with Dynamic Epistemic Fallback
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2026)

Pre-Trained Language Models Represent Some Geographic Populations Better Than Others
di: Dunn, Jonathan, et al.
Pubblicazione: (2024)

Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2024)

Fine-Tuning on Diverse Reasoning Chains Drives Within-Inference CoT Refinement in LLMs
di: Puerto, Haritz, et al.
Pubblicazione: (2024)

Evaluating Large Language Models on Multiword Expressions in Multilingual and Code-Switched Contexts
di: De Leon, Frances Laureano, et al.
Pubblicazione: (2025)

Code-Mixed Probes Show How Pre-Trained Models Generalise On Code-Switched Text
di: De Leon, Frances A. Laureano, et al.
Pubblicazione: (2024)

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2025)

Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom
di: Torgbi, Melissa, et al.
Pubblicazione: (2025)

Are Emergent Abilities in Large Language Models just In-Context Learning?
di: Lu, Sheng, et al.
Pubblicazione: (2023)

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning
di: Niu, Jingcheng, et al.
Pubblicazione: (2025)

Word Boundary Information Isn't Useful for Encoder Language Models
di: Gow-Smith, Edward, et al.
Pubblicazione: (2024)

Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
di: Sarkar, Rupak, et al.
Pubblicazione: (2025)

FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response
di: Shichman, Mollie, et al.
Pubblicazione: (2025)

Shakespearean Sparks: The Dance of Hallucination and Creativity in LLMs' Decoding Layers
di: He, Zicong, et al.
Pubblicazione: (2025)

A Thorough Examination of Decoding Methods in the Era of LLMs
di: Shi, Chufan, et al.
Pubblicazione: (2024)

Moral Mazes in the Era of LLMs
di: Nguyen, Dang, et al.
Pubblicazione: (2026)

Confidence, Not Perplexity: A Better Metric for the Creative Era of LLMs
di: Parupudi, V. S. Raghu
Pubblicazione: (2025)

UniversalCEFR: Enabling Open Multilingual Research on Language Proficiency Assessment
di: Imperial, Joseph Marvin, et al.
Pubblicazione: (2025)

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks
di: Li, Xunkai, et al.
Pubblicazione: (2024)

LaTeX Compilation: Challenges in the Era of LLMs
di: Liu, Tianyou, et al.
Pubblicazione: (2026)

Disambiguation in Conversational Question Answering in the Era of LLMs and Agents: A Survey
di: Tanjim, Md Mehrab, et al.
Pubblicazione: (2025)

Redefining Retrieval Evaluation in the Era of LLMs
di: Trappolini, Giovanni, et al.
Pubblicazione: (2025)

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
di: Su, Jingtong, et al.
Pubblicazione: (2024)

Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
di: Li, Junyi Jessy, et al.
Pubblicazione: (2026)

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends
di: Zhang, Xinghua, et al.
Pubblicazione: (2024)

Towards Automated Kernel Generation in the Era of LLMs
di: Yu, Yang, et al.
Pubblicazione: (2026)

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

Wikipedia in the Era of LLMs: Evolution and Risks
di: Huang, Siming, et al.
Pubblicazione: (2025)

On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMs
di: Ding, Hanxing, et al.
Pubblicazione: (2025)

On the Risk of Evidence Pollution for Malicious Social Text Detection in the Era of LLMs
di: Wan, Herun, et al.
Pubblicazione: (2024)

Affective Computing in the Era of Large Language Models: A Survey from the NLP Perspective
di: Zhang, Yiqun, et al.
Pubblicazione: (2024)

Knowing but Not Showing: LLMs Recognize Ambiguity but Rarely Ask Clarifying Questions
di: Su, Jinyan, et al.
Pubblicazione: (2026)

WorldDB: A Vector Graph-of-Worlds Memory Engine with Ontology-Aware Write-Time Reconciliation
di: Ganesan, Harish Santhanalakshmi
Pubblicazione: (2026)