TCDA introduces TC-DAG to filter cross-thread noise while preserving temporal order and D-RoPE to align semantics across layers and reduce distance dilution, achieving state-of-the-art results on two DiaASQ benchmarks.
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A RoBERTa classifier trained on LLM-generated manner/result verb annotations from extended VerbNet data reaches up to 89.6% accuracy on held-out gold-standard sets.
Hugging Face releases an open-source Python library that supplies a unified API and pretrained weights for major Transformer architectures used in natural language processing.
DistilBERT compresses BERT by 40% via pre-training distillation with a triple loss, retaining 97% performance and running 60% faster.
TIDE integrates trial and debate mechanisms to improve criteria-based prompt optimization for argumentative essay tasks including automated scoring, component detection, and relation identification.
citing papers explorer
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TCDA: Thread-Constrained Discourse-Aware Modeling for Conversational Sentiment Quadruple Analysis
TCDA introduces TC-DAG to filter cross-thread noise while preserving temporal order and D-RoPE to align semantics across layers and reduce distance dilution, achieving state-of-the-art results on two DiaASQ benchmarks.
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A Scalable Tool for Measuring Manner and Result Verbs in Developmental Language Research
A RoBERTa classifier trained on LLM-generated manner/result verb annotations from extended VerbNet data reaches up to 89.6% accuracy on held-out gold-standard sets.
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HuggingFace's Transformers: State-of-the-art Natural Language Processing
Hugging Face releases an open-source Python library that supplies a unified API and pretrained weights for major Transformer architectures used in natural language processing.
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
DistilBERT compresses BERT by 40% via pre-training distillation with a triple loss, retaining 97% performance and running 60% faster.
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Towards Robust Argumentative Essay Understanding via TIDE: An Interactive Framework with Trial and Debate
TIDE integrates trial and debate mechanisms to improve criteria-based prompt optimization for argumentative essay tasks including automated scoring, component detection, and relation identification.