Imagen de Portada

Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Sheffield, William, Misra, Kanishka, Pyatkin, Valentina, Deo, Ashwini, Mahowald, Kyle, Li, Junyi Jessy
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
por: Misra, Kanishka, et al.
Publicado: (2024)

semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces
por: Ranganathan, Jwalanthi, et al.
Publicado: (2025)

WUGNECTIVES: Novel Entity Inferences of Language Models from Discourse Connectives
por: Brubaker, Daniel, et al.
Publicado: (2025)

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
por: Misra, Kanishka, et al.
Publicado: (2024)

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
por: Rozner, Josh, et al.
Publicado: (2021)

LLMs Lean on Priors, Not Programming Language Semantics
por: Thimmaiah, Aditya, et al.
Publicado: (2025)

Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions
por: Scivetti, Wesley, et al.
Publicado: (2026)

A systematic framework for generating novel experimental hypotheses from language models
por: Misra, Kanishka, et al.
Publicado: (2024)

Emergent Introspection in AI is Content-Agnostic
por: Lederman, Harvey, et al.
Publicado: (2026)

The Counterexample Game: Iterated Conceptual Analysis and Repair in Language Models
por: Drucker, Daniel, et al.
Publicado: (2026)

Discourse Diversity in Multi-Turn Empathic Dialogue
por: Zhan, Hongli, et al.
Publicado: (2026)

Hey, wait a minute: on at-issue sensitivity in Language Models
por: Kim, Sanghee J., et al.
Publicado: (2025)

Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
por: Hu, Zichao, et al.
Publicado: (2024)

When to Call an Apple Red: Humans Follow Introspective Rules, VLMs Don't
por: Nemitz, Jonathan, et al.
Publicado: (2026)

On Language Models' Sensitivity to Suspicious Coincidences
por: Padmanabhan, Sriram, et al.
Publicado: (2025)

Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models
por: Yao, Qing, et al.
Publicado: (2025)

Language Models Fail to Introspect About Their Knowledge of Language
por: Song, Siyuan, et al.
Publicado: (2025)

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
por: Boguraev, Sasha, et al.
Publicado: (2025)

Privileged Self-Access Matters for Introspection in AI
por: Song, Siyuan, et al.
Publicado: (2025)

Models Can and Should Embrace the Communicative Nature of Human-Generated Math
por: Boguraev, Sasha, et al.
Publicado: (2024)

Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
por: Govindarajan, Venkata S, et al.
Publicado: (2023)

TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
por: Graf, Victoria, et al.
Publicado: (2026)

Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature?
por: Yun, Hye Sun, et al.
Publicado: (2025)

Language models align with human judgments on key grammatical constructions
por: Hu, Jennifer, et al.
Publicado: (2024)

SPRI: Aligning Large Language Models with Context-Situated Principles
por: Zhan, Hongli, et al.
Publicado: (2025)

Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
por: Govindarajan, Venkata S, et al.
Publicado: (2024)

Cross-Modal Taxonomic Generalization in (Vision-) Language Models
por: Xu, Tianyang, et al.
Publicado: (2026)

WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
por: Lin, Bill Yuchen, et al.
Publicado: (2024)

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

Large Language Models Produce Responses Perceived to be Empathic
por: Lee, Yoon Kyung, et al.
Publicado: (2024)

SFT-then-RL Outperforms Mixed-Policy Methods for LLM Reasoning
por: Limozin, Alexis, et al.
Publicado: (2026)

Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
por: Qin, Yulu, et al.
Publicado: (2025)

Mission: Impossible Language Models
por: Kallini, Julie, et al.
Publicado: (2024)

Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding
por: Hariharan, Mohanakrishnan
Publicado: (2025)

Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information
por: Gao, Qiang, et al.
Publicado: (2024)

Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
por: Röttger, Paul, et al.
Publicado: (2024)

PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
por: Li, Jing-Jing, et al.
Publicado: (2026)

Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering
por: Keluskar, Aryan, et al.
Publicado: (2024)

Modeling Unified Semantic Discourse Structure for High-quality Headline Generation
por: Xu, Minghui, et al.
Publicado: (2024)