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Learning Theory
5312 directly classified papers
Papers per year
2001: 1
2002: 16
2003: 16
2004: 15
2005: 17
2006: 30
2007: 32
2008: 32
2009: 34
2010: 66
2011: 76
2012: 74
2013: 94
2014: 115
2015: 123
2016: 128
2017: 185
2018: 219
2019: 390
2020: 466
2021: 640
2022: 664
2023: 799
2024: 688
2025: 307
2026: 85
Papers
MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs
ICCV 2025
Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making
EMNLP 2025
Learning Trajectories of Figurative Language for Pre-Trained Language Models
EMNLP 2025
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data
EMNLP 2025
An in-depth human study of the mathematical reasoning abilities in Large Language Models
EMNLP 2025
SOI Matters: Analyzing Multi-Setting Training Dynamics in Pretrained Language Models via Subsets of Interest
EMNLP 2025
Investigating Motivated Inference in Large Language Models
EMNLP 2025
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them
EMNLP 2025
Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding
EMNLP 2025
Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering
EMNLP 2025
Structure Trumps Size: Rethinking Data Quality for LLM Reasoning
EMNLP 2025
OAgents: An Empirical Study of Building Effective Agents
EMNLP 2025
Do Influence Functions Work on Large Language Models?
EMNLP 2025
Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models
EMNLP 2025
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models
EMNLP 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
EMNLP 2025
Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages
EMNLP 2025
Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing
EMNLP 2025
Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities
EMNLP 2025
RLMEval: Evaluating Research-Level Neural Theorem Proving
EMNLP 2025
Evaluating Step-by-step Reasoning Traces: A Survey
EMNLP 2025
Reason to Rote: Rethinking Memorization in Reasoning
EMNLP 2025
Temporal Scaling Law for Large Language Models
EMNLP 2025
Can Large Language Models Win the International Mathematical Games?
EMNLP 2025
Beyond Surprisal: A Dual Metric Framework for Lexical Skill Acquisition in LLMs
COLING 2025
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