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Found 3 papers, 3 papers with code
Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models
Existing work investigating this reasoning ability of LLMs has focused only on a couple of inference rules (such as modus ponens and modus tollens) of propositional and first-order logic.
Instruction Tuned Models are Quick Learners
In the MTL setting, an instruction tuned model trained on only 6% of downstream training data achieve SOTA, while using 100% of the training data results in a 3. 69% points improvement (ROUGE-L 74. 68) over the previous SOTA.
Context-NER : Contextual Phrase Generation at Scale
In this paper, we introduce CONTEXT-NER, a task that aims to generate the relevant context for entities in a sentence, where the context is a phrase describing the entity but not necessarily present in the sentence.
Ranked #1 on
ContextNER
on EDGAR10-Q Dataset
