Who cites «Inherent Disagreements in Human Textual Inferences»

240 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Agree, Disagree, Explain: Decomposing Human Label Variation in NLI through the Lens of Explanations — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Assessing the Difficulty of Inference Types in Natural Language Inference for Clinical Trials — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Beyond Annotator Disagreement: Guideline-Induced Errors in Arabic Hate Speech Annotation — 2026 · Proceedings of the 20th Linguistic Annotation Workshop (LAW XX)
Beyond Black-Box Labels: Interpretable Criteria for Diagnosing Subjective NLP Tasks — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language Models — 2026 · arXiv:2603.09993
Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
DIDECO: An Annotated Dataset for Intent Detection in Digital Communications — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Dataset Cartography for Implicit Discourse Relation Recognition: Promises and Pitfalls — 2026 · Proceedings of the 2nd Joint Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences and Computational Models of Reference, Anaphora and Coreference (CODI-CRAC 2026)
Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales — 2026 · Proceedings of the the fifth edition of NLPerspectives
Gold Label Errors in the SciFact Benchmark: An LLM-Assisted Annotation Audit — 2026 · BioNLP 2026
How Grounded is Wikipedia? A Study on Structured Evidential Support and Retrieval — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI — 2026 · arXiv:2607.15870
Human Label Variation in Implicit Discourse Relation Recognition — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
In Generative AI We (Dis)Trust? Computational Analysis of Trust and Distrust in Reddit Discussions — 2026 · Transactions of the Association for Computational Linguistics
Label and Explanation Variation in LLM-Based Annotation: a Case Study in Natural Language Inference — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLP — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Selection Shapes the Boundary: A Preregistered Replication of Monotonicity and Label Agreement in Unselected NLI Populations — 2026 · arXiv:2607.19231
SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource Languages — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Training and Evaluating with Human Label Variation: An Empirical Study — 2026 · Computational Linguistics
Using Model Disagreement to Identify Unstable Regions in MT Evaluation — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
A Multi-Task and Multi-Label Classification Model for Implicit Discourse Relation Recognition — 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue
A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
AUTALIC: A Dataset for Anti-AUTistic Ableist Language In Context — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Behind Closed Words: Creating and Investigating the forePLay Annotated Dataset for Polish Erotic Discourse — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning — 2025 · arXiv:2503.19469
Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
LeWiDi-2025 at NLPerspectives: Third Edition of the Learning with Disagreements Shared Task — 2025 · Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP
Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Mining the uncertainty patterns of humans and models in the annotation of moral foundations and human values — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
On Crowdsourcing Task Design for Discourse Relation Annotation — 2025 · Proceedings of Context and Meaning: Navigating Disagreements in NLP Annotation
On Reference (In-)Determinacy in Natural Language Inference — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
PromotionGo at LeWiDi-2025: Enhancing Multilingual Irony Detection with Data-Augmented Ensembles and L1 Loss — 2025 · Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP
Revisiting Active Learning under (Human) Label Variation — 2025 · Proceedings of the The 4th Workshop on Perspectivist Approaches to NLP
Threading the Needle: Reweaving Chain-of-Thought Reasoning to Explain Human Label Variation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
𝛿-Stance: A Large-Scale Real World Dataset of Stances in Legal Argumentation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Advancing Annotation for Continuous Data in Swiss German Sign Language — 2024 · Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources
AmbiFC: Fact-Checking Ambiguous Claims with Evidence — 2024 · Transactions of the Association for Computational Linguistics
Conditional and Modal Reasoning in Large Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Conformal Prediction for Natural Language Processing: A Survey — 2024 · Transactions of the Association for Computational Linguistics
Corpus Considerations for Annotator Modeling and Scaling — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Don''t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations — 2024 · Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024)
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Evaluating Large Language Models for Health-related Queries with Presuppositions — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Exploring Continual Learning of Compositional Generalization in NLI — 2024 · Transactions of the Association for Computational Linguistics
Exploring Soft-Label Training for Implicit Discourse Relation Recognition — 2024 · Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing — 2024 · Transactions of the Association for Computational Linguistics
First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Forget NLI, Use a Dictionary: Zero-Shot Topic Classification for Low-Resource Languages with Application to Luxembourgish — 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024
Foundational Challenges in Assuring Alignment and Safety of Large Language Models — 2024 · arXiv:2404.09932
GermEval2024 Shared Task: GerMS-Detect – Sexism Detection in German Online News Fora — 2024 · Proceedings of GermEval 2024 Task 1 GerMS-Detect Workshop on Sexism Detection in German Online News Fora (GerMS-Detect 2024)
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Learning to Refine with Fine-Grained Natural Language Feedback — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
Leveraging Annotator Disagreement for Text Classification — 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? — 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP
SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives — our card · 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
The Effectiveness of LLMs as Annotators: A Comparative Overview and Empirical Analysis of Direct Representation — 2024 · arXiv:2405.01299 · https://aclanthology.org/2024.nlperspectives-1.11/
The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
VariErr NLI: Separating Annotation Error from Human Label Variation — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
What''s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
``Seeing the Big through the Small'''': Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
``Tell me who you are and I tell you how you argue'''': Predicting Stances and Arguments for Stakeholder Groups — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
ALANNO: An Active Learning Annotation System for Mortals — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations
Analyzing Cognitive Plausibility of Subword Tokenization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future — our card · 2023 · Computational Linguistics
Are Language Models Worse than Humans at Following Prompts? It's Complicated — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Can Large Language Models Capture Dissenting Human Voices? — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs — 2023 · arXiv:2311.09469
Collective Human Opinions in Semantic Textual Similarity — 2023 · Transactions of the Association for Computational Linguistics
Common Law Annotations: Investigating the Stability of Dialog System Output Annotations — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Culturally Aware Natural Language Inference — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Curing the SICK and Other NLI Maladies — 2023 · Computational Linguistics
DISCO: Distilling Counterfactuals with Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Data Factors for Better Compositional Generalization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design — 2023
Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Ecologically Valid Explanations for Label Variation in NLI — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Expectations over Unspoken Alternatives Predict Pragmatic Inferences — our card · 2023
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
FairPrism: Evaluating Fairness-Related Harms in Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Hate Speech Classifiers Learn Normative Social Stereotypes — 2023 · Transactions of the Association for Computational Linguistics
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
LEDA: a Large-Organization Email-Based Decision-Dialogue-Act Analysis Dataset — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference — 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
PROPRES: Investigating the Projectivity of Presupposition with Various Triggers and Environments — 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation — 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/pavlick-2019-inherent-disagreements-human-textual-inferences/