Saved in:
| Main Authors: | Brubaker, Daniel, Sheffield, William, Li, Junyi Jessy, Misra, Kanishka |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.09556 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
by: Li, Junyi Jessy, et al.
Published: (2026)
by: Li, Junyi Jessy, et al.
Published: (2026)
Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
by: Sheffield, William, et al.
Published: (2025)
by: Sheffield, William, et al.
Published: (2025)
Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences
by: Padmanabhan, Sriram, et al.
Published: (2026)
by: Padmanabhan, Sriram, et al.
Published: (2026)
Characterizing the Role of Similarity in the Property Inferences of Language Models
by: Rodriguez, Juan Diego, et al.
Published: (2024)
by: Rodriguez, Juan Diego, et al.
Published: (2024)
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
by: Misra, Kanishka, et al.
Published: (2024)
by: Misra, Kanishka, et al.
Published: (2024)
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
by: Misra, Kanishka, et al.
Published: (2024)
by: Misra, Kanishka, et al.
Published: (2024)
Hey, wait a minute: on at-issue sensitivity in Language Models
by: Kim, Sanghee J., et al.
Published: (2025)
by: Kim, Sanghee J., et al.
Published: (2025)
Language Models (Mostly) Do Not Consider Emotion Triggers When Predicting Emotion
by: Singh, Smriti, et al.
Published: (2023)
by: Singh, Smriti, et al.
Published: (2023)
On Language Models' Sensitivity to Suspicious Coincidences
by: Padmanabhan, Sriram, et al.
Published: (2025)
by: Padmanabhan, Sriram, et al.
Published: (2025)
QUDsim: Quantifying Discourse Similarities in LLM-Generated Text
by: Namuduri, Ramya, et al.
Published: (2025)
by: Namuduri, Ramya, et al.
Published: (2025)
A systematic framework for generating novel experimental hypotheses from language models
by: Misra, Kanishka, et al.
Published: (2024)
by: Misra, Kanishka, et al.
Published: (2024)
Behavioral Analysis of Information Salience in Large Language Models
by: Trienes, Jan, et al.
Published: (2025)
by: Trienes, Jan, et al.
Published: (2025)
Discourse Diversity in Multi-Turn Empathic Dialogue
by: Zhan, Hongli, et al.
Published: (2026)
by: Zhan, Hongli, et al.
Published: (2026)
Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models
by: Yao, Qing, et al.
Published: (2025)
by: Yao, Qing, et al.
Published: (2025)
Using Natural Language Explanations to Rescale Human Judgments
by: Wadhwa, Manya, et al.
Published: (2023)
by: Wadhwa, Manya, et al.
Published: (2023)
Learning to Refine with Fine-Grained Natural Language Feedback
by: Wadhwa, Manya, et al.
Published: (2024)
by: Wadhwa, Manya, et al.
Published: (2024)
SPRI: Aligning Large Language Models with Context-Situated Principles
by: Zhan, Hongli, et al.
Published: (2025)
by: Zhan, Hongli, et al.
Published: (2025)
Cross-Modal Taxonomic Generalization in (Vision-) Language Models
by: Xu, Tianyang, et al.
Published: (2026)
by: Xu, Tianyang, et al.
Published: (2026)
Targeted Linguistic Analysis of Sign Language Models with Minimal Translation Pairs
by: Karabüklü, Serpil, et al.
Published: (2026)
by: Karabüklü, Serpil, et al.
Published: (2026)
Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions
by: Scivetti, Wesley, et al.
Published: (2026)
by: Scivetti, Wesley, et al.
Published: (2026)
LLMs Lean on Priors, Not Programming Language Semantics
by: Thimmaiah, Aditya, et al.
Published: (2025)
by: Thimmaiah, Aditya, et al.
Published: (2025)
Multimodal QUD: Inquisitive Questions from Scientific Figures
by: Wu, Yating, et al.
Published: (2026)
by: Wu, Yating, et al.
Published: (2026)
Large Language Models Produce Responses Perceived to be Empathic
by: Lee, Yoon Kyung, et al.
Published: (2024)
by: Lee, Yoon Kyung, et al.
Published: (2024)
Large Language Models are Capable of Offering Cognitive Reappraisal, if Guided
by: Zhan, Hongli, et al.
Published: (2024)
by: Zhan, Hongli, et al.
Published: (2024)
Strategic Dialogue Assessment: The Crooked Path to Innocence
by: Zheng, Anshun Asher, et al.
Published: (2025)
by: Zheng, Anshun Asher, et al.
Published: (2025)
Joint Modeling of Entities and Discourse Relations for Coherence Assessment
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces
by: Ranganathan, Jwalanthi, et al.
Published: (2025)
by: Ranganathan, Jwalanthi, et al.
Published: (2025)
Counterfactual Probing for the Influence of Affect and Specificity on Intergroup Bias
by: Govindarajan, Venkata S, et al.
Published: (2023)
by: Govindarajan, Venkata S, et al.
Published: (2023)
Detection and Measurement of Syntactic Templates in Generated Text
by: Shaib, Chantal, et al.
Published: (2024)
by: Shaib, Chantal, et al.
Published: (2024)
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
by: Bahad, Sankalp, et al.
Published: (2024)
by: Bahad, Sankalp, et al.
Published: (2024)
Robo-Instruct: Simulator-Augmented Instruction Alignment For Finetuning Code LLMs
by: Hu, Zichao, et al.
Published: (2024)
by: Hu, Zichao, et al.
Published: (2024)
VANER: Leveraging Large Language Model for Versatile and Adaptive Biomedical Named Entity Recognition
by: Biana, Junyi, et al.
Published: (2024)
by: Biana, Junyi, et al.
Published: (2024)
Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias
by: Govindarajan, Venkata S, et al.
Published: (2024)
by: Govindarajan, Venkata S, et al.
Published: (2024)
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It
by: Qin, Yulu, et al.
Published: (2025)
by: Qin, Yulu, et al.
Published: (2025)
How people talk about each other: Modeling Generalized Intergroup Bias and Emotion
by: Govindarajan, Venkata S, et al.
Published: (2022)
by: Govindarajan, Venkata S, et al.
Published: (2022)
LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition
by: Zhu, Xiaomeng, et al.
Published: (2024)
by: Zhu, Xiaomeng, et al.
Published: (2024)
EvalAgent: Discovering Implicit Evaluation Criteria from the Web
by: Wadhwa, Manya, et al.
Published: (2025)
by: Wadhwa, Manya, et al.
Published: (2025)
Help! Need Advice on Identifying Advice
by: Govindarajan, Venkata Subrahmanyan, et al.
Published: (2020)
by: Govindarajan, Venkata Subrahmanyan, et al.
Published: (2020)
Which questions should I answer? Salience Prediction of Inquisitive Questions
by: Wu, Yating, et al.
Published: (2024)
by: Wu, Yating, et al.
Published: (2024)
CREATE: Testing LLMs for Associative Creativity
by: Wadhwa, Manya, et al.
Published: (2026)
by: Wadhwa, Manya, et al.
Published: (2026)
Similar Items
-
Which course? Discourse! Teaching Discourse and Generation in the Era of LLMs
by: Li, Junyi Jessy, et al.
Published: (2026) -
Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs
by: Sheffield, William, et al.
Published: (2025) -
Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences
by: Padmanabhan, Sriram, et al.
Published: (2026) -
Characterizing the Role of Similarity in the Property Inferences of Language Models
by: Rodriguez, Juan Diego, et al.
Published: (2024) -
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
by: Misra, Kanishka, et al.
Published: (2024)