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← Core AI
Artificial Intelligence
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Core AI
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Large Language Models
6,405 papers
Papers per year
2007: 3
2017: 2
2018: 3
2019: 10
2020: 49
2021: 53
2022: 188
2023: 558
2024: 1910
2025: 3619
2026: 10
Papers
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models
NIPS 2024
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques
NIPS 2024
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
NIPS 2024
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations
NIPS 2024
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token
NIPS 2024
Selective Attention: Enhancing Transformer through Principled Context Control
NIPS 2024
EffiBench: Benchmarking the Efficiency of Automatically Generated Code
NIPS 2024
Representation Noising: A Defence Mechanism Against Harmful Finetuning
NIPS 2024
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
NIPS 2024
BitDelta: Your Fine-Tune May Only Be Worth One Bit
NIPS 2024
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs
NIPS 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
NIPS 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control
NIPS 2024
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
NIPS 2024
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices
NIPS 2024
On the Noise Robustness of In-Context Learning for Text Generation
NIPS 2024
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks
NIPS 2024
Ad Auctions for LLMs via Retrieval Augmented Generation
NIPS 2024
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting
NIPS 2024
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
NIPS 2024
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving
NIPS 2024
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
NIPS 2024
Needle In A Multimodal Haystack
NIPS 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
NIPS 2024
Implicit Optimization Bias of Next-token Prediction in Linear Models
NIPS 2024
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