Search Results for author: Yiyuan Li

Found 7 papers, 3 papers with code

Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate

1 code implementation5 Feb 2024 Can Jin, Tong Che, Hongwu Peng, Yiyuan Li, Marco Pavone

The student learners are trained by the main model and improve the main model to capture more generalizable and teachable correlations by providing feedback.

Image Classification Language Modelling +1

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models

1 code implementation8 Nov 2023 Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava

Generalized quantifiers (e. g., few, most) are used to indicate the proportions predicates are satisfied (for example, some apples are red).

Natural Language Inference

SPE: Symmetrical Prompt Enhancement for Fact Probing

no code implementations14 Nov 2022 Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi

In this work, we propose Symmetrical Prompt Enhancement (SPE), a continuous prompt-based method for factual probing in PLMs that leverages the symmetry of the task by constructing symmetrical prompts for subject and object prediction.

Object

Adversarial Scrubbing of Demographic Information for Text Classification

1 code implementation EMNLP 2021 Somnath Basu Roy Chowdhury, Sayan Ghosh, Yiyuan Li, Junier B. Oliva, Shashank Srivastava, Snigdha Chaturvedi

Contextual representations learned by language models can often encode undesirable attributes, like demographic associations of the users, while being trained for an unrelated target task.

text-classification Text Classification

Comparison of Interactive Knowledge Base Spelling Correction Models for Low-Resource Languages

no code implementations20 Oct 2020 Yiyuan Li, Antonios Anastasopoulos, Alan W Black

In this work, we design a knowledge-base and prediction model embedded system for spelling correction in low-resource languages.

Spelling Correction

Towards Minimal Supervision BERT-based Grammar Error Correction

no code implementations10 Jan 2020 Yiyuan Li, Antonios Anastasopoulos, Alan W. black

Current grammatical error correction (GEC) models typically consider the task as sequence generation, which requires large amounts of annotated data and limit the applications in data-limited settings.

Grammatical Error Correction Language Modelling

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