Researchers have enhanced Transformers' arithmetic abilities by introducing Abacus Embeddings, achieving up to 99% accuracy on 100-digit addition problems. This improvement allows Transformers to perform arithmetic tasks more effectively by encoding the position of each digit relative to the start of the number.
Transformative Advancements: Abacus Embeddings Revolutionize Arithmetic and Algorithmic Reasoning in Transformer Models #AbacusEmbeddings #AI #arithmetic #artificialintelligence #llm #machinelearning #Science https://t.co/LbKaBa92nM https://t.co/puI8XQbDML
Enhancing Transformer Models with Abacus Embeddings for Superior Arithmetic and Algorithmic Reasoning Performance In a recent study, researchers from the University of Maryland, Lawrence Livermore National Laboratory, Tübingen AI Center, and Carnegie Mellon University introduced…
Synthetically trained 7B math model blows 64 shot 2T GPT4 out of the water in math DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data "Proof assistants like Lean have revolutionized mathematical proof verification, ensuring high accuracy and… https://t.co/p0hGgtAvzo
Enhancing Transformer Models with Abacus Embeddings for Superior Arithmetic and Algorithmic Reasoning Performance https://t.co/yLDgUtoMM0
Enhancing Transformer Models with Abacus Embeddings for Superior Arithmetic and Algorithmic Reasoning Performance https://t.co/2mPDogxD2a #TransformerModels #AbacusEmbeddings #AIevolution #AlgorithmicReasoning #AIautomation #ai #news #llm #ml #research #ainews #innovation #art… https://t.co/N4WlrPnff5
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[LG] Transformers Can Do Arithmetic with the Right Embeddings S McLeish, A Bansal, A Stein, N Jain... [University of Maryland] (2024) https://t.co/10beRIvlpO - Transformers struggle with arithmetic tasks because they cannot keep track of the exact position of each digit in a… https://t.co/uHrdMwKqFn
Transformers Can Do Arithmetic with the Right Embeddings Achieves 99% accuracy on 100 digit addition problems by training on only 20 digit numbers with a single GPU. The main challenge this work addresses is the inability of transformers to track the exact position of digits.… https://t.co/1eXn6Jo6il
Researchers Enhance Transformers' Arithmetic Abilities with Abacus Embeddings, Generalizing to 100-Digit Addition https://t.co/5iQfK3tJ2n
Transformers can learn arithmetic with the right embeddings. Models trained on 20-digit addition can generalize to 100-digit addition. The same tricks can do 15 digital multiplication, sorting, etc. 🧮 Unlike the previous SOTA, we don't need fancy hardware. We do training… https://t.co/cxurKUt03r
Introducing 🧮Abacus Embeddings, a simple tweak to positional embeddings that enables LLMs to do addition, multiplication, sorting, and more. Our Abacus Embeddings trained only on 20-digit addition generalise near perfectly to 100+ digits. 1/n https://t.co/Uyn6d1sQ63
TL;DR: Architecture Tricks: • Abacus Embeddings: Positional encoding that encodes the position relative to the start of each number. • Input injection: skip connections inserted between the input layer and each decoder layer. • Looped Transformers: Transformers variant… https://t.co/Jo8wxWmZi3
TL;DR: Architecture Tricks: - Abacus Embeddings: Positional encoding that encodes the position relative to the start of each number. - Input injection: skip connections inserted between the input layer and each decoder layer. - Looped Transformers: Transformers variant that is… https://t.co/Jo8wxWmZi3
Why would you even want your transformer to do arithmetic though? It’s clearly not the best tool for the job. Just give it access to a calculator tool and train it to use it in appropriate circumstances https://t.co/z1gORu5Zus
Transformers Can Do Arithmetic with the Right Embeddings The poor performance of transformers on arithmetic tasks seems to stem in large part from their inability to keep track of the exact position of each digit inside of a large span of digits. We mend this problem by https://t.co/wF5hCJ45na
Transformers Can Do Arithmetic with the Right Embeddings Achieves up to 99% accuracy on 100 digit addition problems by training on only 20 digit numbers with a single GPU for one day repo: https://t.co/CLophxSsjA abs: https://t.co/CHaQgaWFwX https://t.co/cxDCwqO84B
Transformers Can Do Arithmetic with the Right Embeddings abs: https://t.co/9dxfeM1n2m code: https://t.co/GQxfpsTxtR Improves Transformer's arithmetic abilities by adding an embedding to each digit that encodes its position relative to the start of the number. "We find that… https://t.co/QkRCixdgKG