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Large Language Models

6405 directly classified papers

Papers per year

Papers

BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NIPS 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NIPS 2024
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NIPS 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NIPS 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NIPS 2024
LeDex: Training LLMs to Better Self-Debug and Explain Code NIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NIPS 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs 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
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
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
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NIPS 2024
Is Programming by Example Solved by LLMs? NIPS 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference NIPS 2024
Why are Visually-Grounded Language Models Bad at Image Classification? NIPS 2024
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving NIPS 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models NIPS 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression NIPS 2024
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NIPS 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles NIPS 2024
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NIPS 2024