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20182026
most citedIntermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

53 citations · 208 across the 25 of their papers we have counts for

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Showing 2023 · cs.CLShow all

2 papers · 2 filters

cs.CL2023★ 1 cited

Leveraging Implicit Feedback from Deployment Data in Dialogue

Richard Yuanzhe Pang, Stephen Roller, Kyunghyun Cho +2

We study improving social conversational agents by learning from natural dialogue between users and a deployed model, without extra annotations. To implicitly measure the quality o…

cs.CL2023★ 17 cited

Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples

Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar +4

Given the intractably large size of the space of proofs, any model that is capable of general deductive reasoning must generalize to proofs of greater complexity. Recent studies ha…