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Theory

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Papers

Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
Identifying Confounding from Causal Mechanism Shifts AISTATS 2024
The Attractor of the Replicator Dynamic in Zero-Sum Games ALT 2024
The Impossibility of Parallelizing Boosting ALT 2024
Multiclass Online Learnability under Bandit Feedback ALT 2024
On the Identifiability of Quantized Factors CLEAR 2024
Toward the Identifiability of Comparative Deep Generative Models CLEAR 2024
Semiparametric Efficient Inference in Adaptive Experiments CLEAR 2024
Meaningful Causal Aggregation and Paradoxical Confounding CLEAR 2024
A Controlled Reevaluation of Coreference Resolution Models COLING 2024
Analyzing Interpretability of Summarization Model with Eye-gaze Information COLING 2024
Can Humans Identify Domains? COLING 2024
Cognitive Information Bottleneck: Extracting Minimal Sufficient Cognitive Language Processing Signals COLING 2024
Distribution Aware Metrics for Conditional Natural Language Generation COLING 2024
Emotion Analysis in NLP: Trends, Gaps and Roadmap for Future Directions COLING 2024
Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies COLING 2024
How Good Are LLMs at Out-of-Distribution Detection? COLING 2024
Keyphrase Generation: Lessons from a Reproducibility Study COLING 2024
Meta-Evaluation of Sentence Simplification Metrics COLING 2024
MVP: Minimal Viable Phrase for Long Text Understanding COLING 2024
On the Scaling Laws of Geographical Representation in Language Models COLING 2024
Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy COLING 2024
Unpacking Bias: An Empirical Study of Bias Measurement Metrics, Mitigation Algorithms, and Their Interactions COLING 2024
Vygotsky Distance: Measure for Benchmark Task Similarity COLING 2024
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs) COLING 2024