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Statistical Learning

4076 directly classified papers

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Papers

Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models ACL 2025
Do LLMs Give Psychometrically Plausible Responses in Educational Assessments? ACL 2025
Can LLMs Reliably Simulate Real Students’ Abilities in Mathematics and Reading Comprehension? ACL 2025
When Should Dense Retrievers Be Updated in Evolving Corpora? Detecting Out-of-Distribution Corpora Using GradNormIR ACL 2025
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language Models ACL 2025
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation ACL 2025
CliME: Evaluating Multimodal Climate Discourse on Social Media and the Climate Alignment Quotient (CAQ) ACL 2025
Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance ACL 2025
Statistical inference on black-box generative models in the data kernel perspective space ACL 2025
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty ACL 2025
Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups ACL 2025
CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition ACL 2025
Beyond Text Compression: Evaluating Tokenizers Across Scales ACL 2025
ONEBench to Test Them All: Sample-Level Benchmarking Over Open-Ended Capabilities ACL 2025
Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees EMNLP 2025
Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results ACL 2025
Towards Statistical Factuality Guarantee for Large Vision-Language Models EMNLP 2025
Language Model Probabilities are Not Calibrated in Numeric Contexts ACL 2025
Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025
SConU: Selective Conformal Uncertainty in Large Language Models ACL 2025
Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia ACL 2025
Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction ACL 2025
Redundancy Principles for MLLMs Benchmarks ACL 2025
If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation? ACL 2025