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Methodology
← Optimization & Theory
Machine Learning
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Optimization & Theory
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Stochastic Processes
2667 directly classified papers
Papers per year
2003: 4
2004: 1
2005: 2
2006: 9
2007: 11
2008: 17
2009: 18
2010: 30
2011: 36
2012: 37
2013: 50
2014: 56
2015: 60
2016: 77
2017: 132
2018: 154
2019: 211
2020: 244
2021: 311
2022: 279
2023: 376
2024: 326
2025: 157
2026: 69
Papers
Not a nuisance but a useful heuristic: Outlier dimensions favor frequent tokens in language models
EMNLP 2025
Retrieval-Augmented Forecasting with Tabular Time Series Data
ACL 2025
Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD
SEMEVAL 2025
Beyond cognacy
ACL 2025
A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis
EMNLP 2025
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models
EMNLP 2025
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
RSS 2025
Beyond Semantic Entropy: Boosting LLM Uncertainty Quantification with Pairwise Semantic Similarity
ACL 2025
The Inverse Scaling Effect of Pre-Trained Language Model Surprisal Is Not Due to Data Leakage
ACL 2025
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
ACL 2025
Persistent Homology of Topic Networks for the Prediction of Reader Curiosity
ACL 2025
Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
ACL 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Length Controlled Generation for Black-box LLMs
ACL 2025
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization
ACL 2025
Uncertainty Propagation on LLM Agent
ACL 2025
Enough Coin Flips Can Make LLMs Act Bayesian
ACL 2025
CER: Confidence Enhanced Reasoning in LLMs
ACL 2025
Quantifying the Effectiveness of Linear Preconditioning in Markov Chain Monte Carlo
JMLR 2025
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
EMNLP 2025
Who Remembers What? Tracing Information Fidelity in Human-AI Chains
AACL 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Do LLMs Play Dice? Exploring Probability Distribution Sampling in Large Language Models for Behavioral Simulation
COLING 2025
XTSFormer: Cross-Temporal-Scale Transformer for Irregular-Time Event Prediction in Clinical Applications
AAAI 2025
Black-Box Optimization with Implicit Constraints for Public Policy
AAAI 2025
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