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Learning Theory

5312 directly classified papers

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Papers

Order Matters: Investigate the Position Bias in Multi-constraint Instruction Following ACL 2025
Compute Optimal Scaling of Skills: Knowledge vs Reasoning ACL 2025
Benchmarking Deep Search over Heterogeneous Enterprise Data EMNLP 2025
User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs ACL 2025
LR²Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems ACL 2025
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions EMNLP 2025
OpenHuEval: Evaluating Large Language Model on Hungarian Specifics ACL 2025
Scaling Laws for Multilingual Language Models ACL 2025
From Remembering to Metacognition: Do Existing Benchmarks Accurately Evaluate LLMs? EMNLP 2025
EXECUTE: A Multilingual Benchmark for LLM Token Understanding ACL 2025
From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors EMNLP 2025
How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs ACL 2025
Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs EMNLP 2025
Low-Perplexity LLM-Generated Sequences and Where To Find Them ACL 2025
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive ACL 2025
Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs ACL 2025
Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning ACL 2025
Language Models Grow Less Humanlike beyond Phase Transition ACL 2025
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ACL 2025
Understanding Stragglers in Large Model Training Using What-if Analysis OSDI 2025
Language Models Resist Alignment: Evidence From Data Compression ACL 2025
Limited Generalizability in Argument Mining: State-Of-The-Art Models Learn Datasets, Not Arguments ACL 2025
GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration ACL 2025
On the Generalization vs Fidelity Paradox in Knowledge Distillation ACL 2025
Veracity Bias and Beyond: Uncovering LLMs’ Hidden Beliefs in Problem-Solving Reasoning ACL 2025