← Core AI
Artificial Intelligence › Core AI ›

Large Language Models

6405 directly classified papers

Papers per year

Papers

EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation EMNLP 2024
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs EMNLP 2024
Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization EMNLP 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing EMNLP 2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge EMNLP 2024
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024
How Far Can We Extract Diverse Perspectives from Large Language Models? EMNLP 2024
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning EMNLP 2024
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024 EMNLP 2024
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning EMNLP 2024
Concept Space Alignment in Multilingual LLMs EMNLP 2024
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model EMNLP 2024
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian EMNLP 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024
C-LLM: Learn to Check Chinese Spelling Errors Character by Character EMNLP 2024
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration EMNLP 2024
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation EMNLP 2024
Do Large Language Models Know How Much They Know? EMNLP 2024
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities EMNLP 2024
Personas as a Way to Model Truthfulness in Language Models EMNLP 2024
An Audit on the Perspectives and Challenges of Hallucinations in NLP EMNLP 2024
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models EMNLP 2024
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering EMNLP 2024