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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Theory
4950 directly classified papers
Papers per year
2000: 1
2001: 2
2002: 3
2003: 3
2004: 9
2005: 4
2006: 32
2007: 25
2008: 31
2009: 25
2010: 37
2011: 37
2012: 45
2013: 76
2014: 66
2015: 72
2016: 102
2017: 156
2018: 246
2019: 353
2020: 447
2021: 567
2022: 646
2023: 741
2024: 670
2025: 426
2026: 128
Papers
Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
ACL 2024
Connecting the Dots in News Analysis: Bridging the Cross-Disciplinary Disparities in Media Bias and Framing
NAACL 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
NIPS 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
NIPS 2024
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases
NAACL 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
NIPS 2024
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
ACL 2024
The Expressive Capacity of State Space Models: A Formal Language Perspective
NIPS 2024
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective
ACL 2024
Lower Bounds on the Expressivity of Recurrent Neural Language Models
NAACL 2024
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
ACL 2024
BotChat: Evaluating LLMs’ Capabilities of Having Multi-Turn Dialogues
NAACL 2024
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps
NIPS 2024
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
ACL 2024
Findings of the AmericasNLP 2024 Shared Task on Machine Translation into Indigenous Languages
NAACL 2024
LeanReasoner: Boosting Complex Logical Reasoning with Lean
NAACL 2024
MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
ACL 2024
Investigating Data Contamination in Modern Benchmarks for Large Language Models
NAACL 2024
Polyhedral Complex Derivation from Piecewise Trilinear Networks
NIPS 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification
NAACL 2024
The Elephant in the Room: Ten Challenges of Computational Detection of Rhetorical Figures
NAACL 2024
Listen, Repeat, Decide: Investigating Pronunciation Variation in Spoken Word Recognition among Russian Speakers
COLING 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Schroedinger’s Threshold: When the AUC Doesn’t Predict Accuracy
COLING 2024
On the Ability of Developers' Training Data Preservation of Learnware
NIPS 2024
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