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Learning Theory

5312 directly classified papers

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Papers

Do Large Language Models Truly Grasp Addition? A Rule-Focused Diagnostic Using Two-Integer Arithmetic EMNLP 2025
Circuit Complexity Bounds for RoPE-based Transformer Architecture EMNLP 2025
Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies EMNLP 2025
Noise, Adaptation, and Strategy: Assessing LLM Fidelity in Decision-Making EMNLP 2025
Axioms for AI Alignment from Human Feedback AAAI 2025
Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025
Language models can learn implicit multi-hop reasoning, but only if they have lots of training data EMNLP 2025
LLMs cannot spot math errors, even when allowed to peek into the solution EMNLP 2025
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving EMNLP 2025
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark EMNLP 2025
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework EMNLP 2025
Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models EMNLP 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025
Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025
Towards a Holistic and Automated Evaluation Framework for Multi-Level Comprehension of LLMs in Book-Length Contexts EMNLP 2025
Temporal Scaling Law for Large Language Models EMNLP 2025
How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison EMNLP 2025
From Parameters to Performance: A Data-Driven Study on LLM Structure and Development EMNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Trojsten Benchmark: Evaluating LLM Problem-Solving in Slovak STEM Competition Problems EMNLP 2025
Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025
Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding EMNLP 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
Theory-Inspired Deep Multi-View Multi-Label Learning with Incomplete Views and Noisy Labels CVPR 2025
The Bandit Whisperer: Communication Learning for Restless Bandits AAAI 2025