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Large Language Models

6,405 papers

Papers per year

Papers

Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NIPS 2024
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models NIPS 2024
Interpreting Learned Feedback Patterns in Large Language Models NIPS 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback NIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NIPS 2024
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition NIPS 2024
StackEval: Benchmarking LLMs in Coding Assistance NIPS 2024
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NIPS 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs NIPS 2024
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models NIPS 2024
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model NIPS 2024
Dual-Personalizing Adapter for Federated Foundation Models NIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NIPS 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NIPS 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models NIPS 2024
LLM Circuit Analyses Are Consistent Across Training and Scale NIPS 2024
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NIPS 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NIPS 2024
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data NIPS 2024
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NIPS 2024
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models NIPS 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NIPS 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization NIPS 2024