4 citations · 5 across the 2 of their papers we have counts for
5 papers · 1 filter
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models
Zeming Chen, Alejandro Hernández Cano, Angelika Romanou +17
Large language models (LLMs) can potentially democratize access to medical knowledge. While many efforts have been made to harness and improve LLMs' medical knowledge and reasoning…
Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding
Zeming Chen, Qiyue Gao
In the age of large transformer language models, linguistic evaluation play an important role in diagnosing models' abilities and limitations on natural language understanding. How…
NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning
Zeming Chen, Qiyue Gao, Lawrence S. Moss
Deep learning (DL) based language models achieve high performance on various benchmarks for Natural Language Inference (NLI). And at this time, symbolic approaches to NLI are recei…
Monotonicity Marking from Universal Dependency Trees
Zeming Chen, Qiyue Gao
Dependency parsing is a tool widely used in the field of Natural language processing and computational linguistics. However, there is hardly any work that connects dependency parsi…
Attentive Tree-structured Network for Monotonicity Reasoning
Zeming Chen
Many state-of-art neural models designed for monotonicity reasoning perform poorly on downward inference. To address this shortcoming, we developed an attentive tree-structured neu…