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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
Protecting Your LLMs with Information Bottleneck
NIPS 2024
Time-Reversal Provides Unsupervised Feedback to LLMs
NIPS 2024
UQE: A Query Engine for Unstructured Databases
NIPS 2024
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
NIPS 2024
SciCode: A Research Coding Benchmark Curated by Scientists
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
Estimating the Hallucination Rate of Generative AI
NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
NIPS 2024
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps
NIPS 2024
Wings: Learning Multimodal LLMs without Text-only Forgetting
NIPS 2024
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
NIPS 2024
Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
NIPS 2024
Fast Best-of-N Decoding via Speculative Rejection
NIPS 2024
Where does In-context Learning Happen in Large Language Models?
NIPS 2024
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence
NIPS 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
NIPS 2024
BertaQA: How Much Do Language Models Know About Local Culture?
NIPS 2024
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages
NIPS 2024
LLM-Check: Investigating Detection of Hallucinations in Large Language Models
NIPS 2024
Bridge the Modality and Capability Gaps in Vision-Language Model Selection
NIPS 2024
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts
NIPS 2024
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
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
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