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20152023
most citedFew-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

294 citations · 1.3k across the 122 of their papers we have counts for

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Showing 2020 · cs.CLShow all

25 papers · 2 filters

cs.CL2020★ 9 cited

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling

Yixin Nie, Mary Williamson, Mohit Bansal +2

To quantify how well natural language understanding models can capture consistency in a general conversation, we introduce the DialoguE COntradiction DEtection task (DECODE) and a…

cs.CL2020

To what extent do human explanations of model behavior align with actual model behavior?

Grusha Prasad, Yixin Nie, Mohit Bansal +3

Given the increasingly prominent role NLP models (will) play in our lives, it is important for human expectations of model behavior to align with actual model behavior. Using Natur…

cs.CL2020★ 3 cited

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

Yichen Jiang, Shikha Bordia, Zheng Zhong +3

We introduce HoVer (HOppy VERification), a dataset for many-hop evidence extraction and fact verification. It challenges models to extract facts from several Wikipedia articles tha…

cs.CL2020★ 3 cited

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments

Hyounghun Kim, Abhay Zala, Graham Burri +2

For embodied agents, navigation is an important ability but not an isolated goal. Agents are also expected to perform specific tasks after reaching the target location, such as pic…

cs.CL2020

DORB: Dynamically Optimizing Multiple Rewards with Bandits

Ramakanth Pasunuru, Han Guo, Mohit Bansal

Policy gradients-based reinforcement learning has proven to be a promising approach for directly optimizing non-differentiable evaluation metrics for language generation tasks. How…

cs.CL2020

ConjNLI: Natural Language Inference Over Conjunctive Sentences

Swarnadeep Saha, Yixin Nie, Mohit Bansal

Reasoning about conjuncts in conjunctive sentences is important for a deeper understanding of conjunctions in English and also how their usages and semantics differ from conjunctiv…