conftrace_
← Core AI
Artificial Intelligence › Core AI ›

Large Language Models

6,405 papers

Papers per year

Papers

StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NIPS 2024
Cascade Speculative Drafting for Even Faster LLM Inference NIPS 2024
Localized Zeroth-Order Prompt Optimization NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games NIPS 2024
Proving Theorems Recursively NIPS 2024
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs NIPS 2024
Base of RoPE Bounds Context Length NIPS 2024
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NIPS 2024
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NIPS 2024
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability NIPS 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification NIPS 2024
What matters when building vision-language models? NIPS 2024
Mixture of Demonstrations for In-Context Learning NIPS 2024
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NIPS 2024
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation NIPS 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024
Compressing Large Language Models using Low Rank and Low Precision Decomposition NIPS 2024
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action NIPS 2024
A Theoretical Understanding of Self-Correction through In-context Alignment NIPS 2024
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding NIPS 2024
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models NIPS 2024
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models NIPS 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NIPS 2024