Tag
introduced_in
36 verified claims carrying this tag. Each cites primary evidence; the source count is shown on every record.
Long Short-Term Memory (LSTM) introduced in: 1997 by Hochreiter and Schmidhuber.
97ec4d132871224b · 2 sources · 100% confidence
RoBERTa introduced in: Liu et al. 2019 — A Robustly Optimized BERT Pretraining Approach.
d4fecb26a4c9cdca · 2 sources · 100% confidence
DistilBERT introduced in: Sanh et al. 2019 — a smaller, faster, cheaper BERT via knowledge distillation.
245af747a3d21061 · 2 sources · 100% confidence
BART introduced in: Lewis et al. 2019 — denoising sequence-to-sequence pretraining.
f5b422e3255fd7c0 · 2 sources · 100% confidence
GloVe introduced in: Pennington, Socher, Manning 2014 — global vectors for word representation.
7f9254f3c0612ed0 · 2 sources · 100% confidence
Flamingo introduced in: Alayrac et al. 2022 — DeepMind few-shot vision-language model.
72ea74efc723bd06 · 2 sources · 100% confidence
Toolformer introduced in: Schick et al. 2023 — self-supervised LLM tool-use.
cd4387e16e2c3e3d · 2 sources · 100% confidence
vLLM introduced in: Kwon et al. 2023 — high-throughput LLM serving via PagedAttention.
468a9e2c047d8f2f · 2 sources · 100% confidence
Chatbot Arena introduced in: Zheng et al. 2023 — LMSYS open platform for evaluating LLMs by human preference.
789ddc9bc9c3d688 · 2 sources · 100% confidence
GPTQ introduced in: Frantar et al. 2022 — accurate post-training quantization for GPT models.
a9ab1ec12062f7ae · 2 sources · 100% confidence
FAISS introduced in: Johnson, Douze, Jégou 2017 — Facebook AI Similarity Search.
7ee9546a5a7d851e · 2 sources · 100% confidence
Self-RAG introduced in: Asai et al. 2023 — self-reflective retrieval-augmented generation.
c0219cf87124d20d · 2 sources · 100% confidence
Mamba-2 introduced in: Dao & Gu 2024 — structured state space duality.
07abb25f8fc2c1d6 · 2 sources · 100% confidence
AlpacaEval introduced in: Li et al. 2023 — LLM-as-judge evaluation benchmark.
2f14f3078741c0ad · 2 sources · 100% confidence
Backpropagation algorithm popularized in: Rumelhart, Hinton, Williams 1986 — Nature paper.
e5471a750d13a672 · 2 sources · 100% confidence
U-Net introduced in: Ronneberger, Fischer, Brox 2015 — biomedical image segmentation.
4f19829aa2036770 · 2 sources · 100% confidence
AlphaFold 1 introduced in: Senior et al. 2020 — DeepMind protein structure prediction.
a77a8dd48941a53d · 2 sources · 100% confidence
SGLang introduced in: Zheng et al. 2024 — efficient LLM serving with structured outputs.
4244c11611a72550 · 2 sources · 100% confidence
VAE (Variational Autoencoder) introduced in: Kingma & Welling 2013 — auto-encoding variational Bayes.
f1e5afb457a428c6 · 2 sources · 100% confidence
Knowledge Distillation popularized in: Hinton, Vinyals, Dean 2015 — distilling the knowledge in a neural network.
f14acb906ba6c12f · 2 sources · 100% confidence
InstructGPT introduced in: Ouyang et al. 2022 — RLHF-tuned GPT-3, direct ancestor of ChatGPT.
590b9de765b8126e · 2 sources · 100% confidence
Tree of Thoughts introduced in: Yao et al. 2023 — deliberate problem solving with LLMs.
9d7676f71d1ee4f3 · 2 sources · 100% confidence
Mixture of Experts (MoE) revival popularized in: Shazeer et al. 2017 — outrageously large neural networks via sparse gating.
f068236101568ad7 · 2 sources · 100% confidence
Speculative decoding introduced in: Leviathan, Kalman, Matias 2023 — Google Research.
6cdc7730bf41bb3d · 2 sources · 100% confidence
MTEB benchmark introduced in: Muennighoff et al. 2022 — Massive Text Embedding Benchmark.
cccd161dd058a31e · 2 sources · 100% confidence
Anthropic Constitutional AI Harmlessness introduced in paper: Bai et al. 2022 — training a helpful and harmless assistant.
6fa575eb9df5ac32 · 2 sources · 100% confidence
ColBERT introduced in: Khattab & Zaharia 2020 — late-interaction retrieval.
2335984b07f28cac · 2 sources · 100% confidence
ARC-AGI benchmark introduced in: Chollet 2019 — abstraction and reasoning corpus.
cc5df3c14d35fa49 · 2 sources · 100% confidence
SWE-bench introduced in: Jimenez et al. 2024 — software engineering benchmark from GitHub issues.
b16b5f5297e5f621 · 2 sources · 100% confidence
GraphRAG introduced in: Edge et al. 2024 — Microsoft Research knowledge-graph RAG.
58a9c41f05c73a22 · 2 sources · 100% confidence
Kaplan scaling laws introduced in paper: Kaplan et al. 2020 — Scaling Laws for Neural Language Models.
22e12bfbe7770657 · 2 sources · 100% confidence
ReAct prompting pattern introduced in: Yao et al. 2022 — synergizing reasoning and acting in language models.
95193a0b79c777e8 · 2 sources · 100% confidence
RAG-Fusion popularized in: Adrian Raudaschl 2023 — multi-query reciprocal-rank-fusion variant of RAG.
fe4a0d68944f9e5e · 2 sources · 95% confidence
CRAG (Corrective RAG) introduced in: Yan et al. 2024 — corrective retrieval-augmented generation.
326d6dd16bd353d1 · 2 sources · 100% confidence
Chain-of-Thought (CoT) introduced in: Wei et al. 2022 — Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
a8503ad535423b54 · 2 sources · 100% confidence
PEFT (parameter-efficient fine-tuning) popularized in: Houlsby et al. 2019 — Adapter Modules + downstream PEFT library.
fb9a06ffca4277c1 · 2 sources · 100% confidence