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Large Language Models

2678 directly classified papers

Papers per year

Papers

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare NIPS 2024
Fast Best-of-N Decoding via Speculative Rejection NIPS 2024
Where does In-context Learning Happen in Large Language Models? NIPS 2024
Dense Connector for MLLMs NIPS 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NIPS 2024
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens NIPS 2024
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NIPS 2024
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NIPS 2024
The Expressive Capacity of State Space Models: A Formal Language Perspective NIPS 2024
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models NIPS 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models NIPS 2024
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models NIPS 2024
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction NIPS 2024
Symbolic Regression with a Learned Concept Library NIPS 2024
Is Programming by Example Solved by LLMs? NIPS 2024
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NIPS 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models NIPS 2024
SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models NIPS 2024
Calibrated Self-Rewarding Vision Language Models NIPS 2024
Why are Visually-Grounded Language Models Bad at Image Classification? NIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking 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