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Learning Theory

5,334 papers

Papers per year

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Papers

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024
Scaling Properties of Speech Language Models EMNLP 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices EMNLP 2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs EMNLP 2024
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? EMNLP 2024
Collaborative Performance Prediction for Large Language Models EMNLP 2024
On Training Data Influence of GPT Models EMNLP 2024
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning EMNLP 2024
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners EMNLP 2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs EMNLP 2024
Can Transformers Learn n-gram Language Models? EMNLP 2024
On the In-context Generation of Language Models EMNLP 2024
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models EMNLP 2024
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models EMNLP 2024
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking EMNLP 2024
The Mystery of the Pathological Path-star Task for Language Models EMNLP 2024
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories EMNLP 2024
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024
Exploring the Learning Capabilities of Language Models using LEVERWORLDS EMNLP 2024
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models EMNLP 2024
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization EMNLP 2024
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve? EMNLP 2024