activity
20192022
most citedPair-Level Supervised Contrastive Learning for Natural Language Inference

29 citations · 36 across the 7 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022

Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution

Aiwei Liu, Honghai Yu, Xuming Hu +5

We propose the first character-level white-box adversarial attack method against transformer models. The intuition of our method comes from the observation that words are split int…

cs.CL2022★ 1 cited

Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph

Aiwei Liu, Xuming Hu, Li Lin +1

The generalizability to new databases is of vital importance to Text-to-SQL systems which aim to parse human utterances into SQL statements. Existing works achieve this goal by lev…

cs.CL2022★ 5 cited

A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference

Shu'ang Li, Xuming Hu, Li Lin +3

Natural Language Inference (NLI) is a growingly essential task in natural language understanding, which requires inferring the relationship between the sentence pairs (premise and…

cs.CL2022★ 29 cited

Pair-Level Supervised Contrastive Learning for Natural Language Inference

Shu'ang Li, Xuming Hu, Li Lin +1

Natural language inference (NLI) is an increasingly important task for natural language understanding, which requires one to infer the relationship between the sentence pair (premi…

cs.CL2022★ 1 cited

What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation

Li Lin, Yixin Cao, Lifu Huang +4

Prediction over event sequences is critical for many real-world applications in Information Retrieval and Natural Language Processing. Future Event Generation (FEG) is a challengin…