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Large Language Models

2678 directly classified papers

Papers per year

Papers

How Do Humans Write Code? Large Models Do It the Same Way Too EMNLP 2024
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models EMNLP 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA EMNLP 2024
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models EMNLP 2024
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness EMNLP 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection EMNLP 2024
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing EMNLP 2024
Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models EMNLP 2024
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment EMNLP 2024
Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models EMNLP 2024
Unifying Multimodal Retrieval via Document Screenshot Embedding EMNLP 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion EMNLP 2024
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024
Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale EMNLP 2024
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024
Do Text-to-Vis Benchmarks Test Real Use of Visualisations? EMNLP 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding EMNLP 2024