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Large Language Models

6405 directly classified papers

Papers per year

Papers

Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models EMNLP 2024
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models? EMNLP 2024
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models EMNLP 2024
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases EMNLP 2024
Calibrating the Confidence of Large Language Models by Eliciting Fidelity EMNLP 2024
CUTE: Measuring LLMs’ Understanding of Their Tokens EMNLP 2024
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation EMNLP 2024
Word Alignment as Preference for Machine Translation EMNLP 2024
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models EMNLP 2024
Neuron-Level Knowledge Attribution in Large Language Models EMNLP 2024
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning EMNLP 2024
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis EMNLP 2024
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory EMNLP 2024
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models EMNLP 2024
LLM4Decompile: Decompiling Binary Code with Large Language Models EMNLP 2024
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models EMNLP 2024
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison EMNLP 2024
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism EMNLP 2024
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation EMNLP 2024
Conditional and Modal Reasoning in Large Language Models EMNLP 2024
Advancing Large Language Model Attribution through Self-Improving EMNLP 2024
Interpretability-based Tailored Knowledge Editing in Transformers EMNLP 2024
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling EMNLP 2024
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting EMNLP 2024