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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
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs
NIPS 2024
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
NIPS 2024
MathPile: A Billion-Token-Scale Pretraining Corpus for Math
NIPS 2024
LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages
NIPS 2024
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
NIPS 2024
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs
NIPS 2024
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning
NIPS 2024
SciCode: A Research Coding Benchmark Curated by Scientists
NIPS 2024
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
NIPS 2024
Graph-based Uncertainty Metrics for Long-form Language Model Generations
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
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
NIPS 2024
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach
NIPS 2024
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
NIPS 2024
LeDex: Training LLMs to Better Self-Debug and Explain Code
NIPS 2024
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
NIPS 2024
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
NIPS 2024
LLM Circuit Analyses Are Consistent Across Training and Scale
NIPS 2024
Verified Code Transpilation with LLMs
NIPS 2024
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold
NIPS 2024
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems
NIPS 2024
SparseLLM: Towards Global Pruning of Pre-trained Language Models
NIPS 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
NIPS 2024
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