FreeCite: A Judge-Free Benchmark for Granular Citation Evaluation in Large Language Models
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Updated
Feb 22, 2026 - Python
FreeCite: A Judge-Free Benchmark for Granular Citation Evaluation in Large Language Models
A Deep-Learning-Based Persian Speech Recognition System
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Attention in Seq2Seq with Teacher Forcing and Beam Search Decoding
Convolutional Language Model for Image Captioning
Teacher-forced confidence as a false-belief sensor for language models.
LSTM encoder-decoder model that translates infix mathematical expressions to postfix notation, achieving 100% accuracy with true autoregressive decoding. Built with TensorFlow/Keras.
keras Neural Machine Translation using seq2seq with teacher forcing.
Teacher-forced confidence analysis for language models. pip install confidence-cartography
A keras implementation of word level encoder-decoder architecture with teacher forcing.
Generate emotionally coherent song lyrics from melodies using deep learning. Combines LSTM-based language modeling with static and time-aligned MIDI features.
This notebooks, we train a seq2seq decoder model with teacher forcing. Then use the trained layers from the decoder to generate a Sonnet.
Interact with a trained chatbot that uses sequence to sequence model with luong attention mechanism over jointly trained encoder-decoder modules and implementation of greedy search decoding module.
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