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Large Language Models

6,405 papers

Papers per year

Papers

Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs EMNLP 2024
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
Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024
LUQ: Long-text Uncertainty Quantification for LLMs EMNLP 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model 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
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems EMNLP 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA EMNLP 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024