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Large Language Models

6405 directly classified papers

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Papers

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs EMNLP 2024
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding EMNLP 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs EMNLP 2024
On the In-context Generation of Language Models EMNLP 2024
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses EMNLP 2024
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment EMNLP 2024
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models EMNLP 2024
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation EMNLP 2024
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning EMNLP 2024
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective EMNLP 2024
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding EMNLP 2024
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance EMNLP 2024
Belief Revision: The Adaptability of Large Language Models Reasoning EMNLP 2024
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models EMNLP 2024
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering EMNLP 2024
Speechworthy Instruction-tuned Language Models EMNLP 2024
Data, Data Everywhere: A Guide for Pretraining Dataset Construction EMNLP 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024
Demystifying Verbatim Memorization in Large Language Models EMNLP 2024
DataTales: A Benchmark for Real-World Intelligent Data Narration EMNLP 2024
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024