Weijia Shi | DeepAI

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∙ 06/02/2023

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

Language models (LMs) often exhibit undesirable text generation behavior...

5 Zeqiu Wu, et al. ∙

∙ 05/24/2023

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding

Language models (LMs) often struggle to pay enough attention to the inpu...

0 Weijia Shi, et al. ∙

∙ 05/24/2023

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering

One of the ultimate quests of question answering (QA) is to deploy a sys...

0 Chenglei Si, et al. ∙

∙ 05/17/2023

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge

Large language models (LLMs) are increasingly adopted for knowledge-inte...

0 Shangbin Feng, et al. ∙

∙ 03/24/2023

Scaling Expert Language Models with Unsupervised Domain Discovery

Large language models are typically trained densely: all parameters are ...

0 Suchin Gururangan, et al. ∙

∙ 02/21/2023

kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models

Fine-tuning a language model on a new domain is standard practice for do...

14 Yangsibo Huang, et al. ∙

∙ 01/30/2023

REPLUG: Retrieval-Augmented Black-Box Language Models

We introduce REPLUG, a retrieval-augmented language modeling framework t...

7 Weijia Shi, et al. ∙

∙ 12/20/2022

Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?

Large language models can perform new tasks in a zero-shot fashion, give...

0 Weijia Shi, et al. ∙

∙ 12/02/2022

Nonparametric Masked Language Modeling

Existing language models (LMs) predict tokens with a softmax over a fini...

0 Sewon Min, et al. ∙

∙ 11/22/2022

Retrieval-Augmented Multimodal Language Modeling

Recent multimodal models such as DALL-E and CM3 have achieved remarkable...

28 Michihiro Yasunaga, et al. ∙

∙ 11/15/2022

PromptCap: Prompt-Guided Task-Aware Image Captioning

Image captioning aims to describe an image with a natural language sente...

10 Yushi Hu, et al. ∙

∙ 10/25/2022

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering

We introduce RoMQA, the first benchmark for robust, multi-evidence, mult...

0 Victor Zhong, et al. ∙

∙ 05/27/2022

Nearest Neighbor Zero-Shot Inference

We introduce kNN-Prompt, a simple and effective technique to use k-neare...

0 Weijia Shi, et al. ∙

∙ 06/09/2021

DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions

Short textual descriptions of entities provide summaries of their key at...

0 Weijia Shi, et al. ∙

∙ 05/02/2020

Design Challenges for Low-resource Cross-lingual Entity Linking

Cross-lingual Entity Linking (XEL) grounds mentions of entities that app...

0 XingYu Fu, et al. ∙

∙ 05/01/2020

Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text

Much research effort has been put to multilingual knowledge graph (KG) e...

2 Muhao Chen, et al. ∙

∙ 04/05/2020

On Tractable Representations of Binary Neural Networks

We consider the compilation of a binary neural network's decision functi...

0 Weijia Shi, et al. ∙

∙ 09/12/2019

Retrofitting Contextualized Word Embeddings with Paraphrases

Contextualized word embedding models, such as ELMo, generate meaningful ...

0 Weijia Shi, et al. ∙

∙ 09/05/2019

Examining Gender Bias in Languages with Grammatical Gender

Recent studies have shown that word embeddings exhibit gender bias inher...

0 Pei Zhou, et al. ∙

∙ 06/21/2019

Learning Bilingual Word Embeddings Using Lexical Definitions

Bilingual word embeddings, which representlexicons of different language...

0 Weijia Shi, et al. ∙

∙ 11/26/2018

Embedding Uncertain Knowledge Graphs

Embedding models for deterministic Knowledge Graphs (KG) have been exten...

0 Xuelu Chen, et al. ∙

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