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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
Augmenting Language Models with Long-Term Memory
NIPS 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots
NIPS 2023
Training Chain-of-Thought via Latent-Variable Inference
NIPS 2023
Language Is Not All You Need: Aligning Perception with Language Models
NIPS 2023
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
NIPS 2023
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
NIPS 2023
Faith and Fate: Limits of Transformers on Compositionality
NIPS 2023
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
NIPS 2023
Toolformer: Language Models Can Teach Themselves to Use Tools
NIPS 2023
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
NIPS 2023
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models
NIPS 2023
Post Hoc Explanations of Language Models Can Improve Language Models
NIPS 2023
Meta-in-context learning in large language models
NIPS 2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
NIPS 2023
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
NIPS 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
NIPS 2023
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models
NIPS 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NIPS 2023
D4: Improving LLM Pretraining via Document De-Duplication and Diversification
NIPS 2023
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset
NIPS 2023
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time
NIPS 2023
Evaluating the Moral Beliefs Encoded in LLMs
NIPS 2023
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks
NIPS 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
NIPS 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
NIPS 2023
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