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Methodology
← Models
Deep Learning
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Models
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Large Language Models
2678 directly classified papers
Papers per year
2014: 1
2017: 2
2018: 1
2019: 13
2020: 17
2021: 26
2022: 105
2023: 314
2024: 931
2025: 1268
Papers
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems
NIPS 2024
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis
NIPS 2024
iVideoGPT: Interactive VideoGPTs are Scalable World Models
NIPS 2024
Instruction Tuning With Loss Over Instructions
NIPS 2024
Training Compute-Optimal Protein Language Models
NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning
NIPS 2024
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs
NIPS 2024
Automatically Learning Hybrid Digital Twins of Dynamical Systems
NIPS 2024
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models
NIPS 2024
Poseidon: Efficient Foundation Models for PDEs
NIPS 2024
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling
NIPS 2024
TableRAG: Million-Token Table Understanding with Language Models
NIPS 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
NIPS 2024
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
NIPS 2024
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance
NIPS 2024
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
NIPS 2024
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NIPS 2024
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering
NIPS 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
NIPS 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better
NIPS 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NIPS 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NIPS 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NIPS 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
NIPS 2024
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