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08/08/2023
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore
The legality of training language models (LMs) on copyrighted or otherwi...
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07/19/2023
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation
Rising computational demands of modern natural language processing (NLP)...
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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...
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05/27/2023
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
Large-scale vision language (VL) models use Transformers to perform cros...
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05/24/2023
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
Despite remarkable advancements in few-shot generalization in natural la...
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05/23/2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Evaluating the factuality of long-form text generated by large language ...
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05/22/2023
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
Recent work in NLP has shown promising results in training models on lar...
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05/19/2023
Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval
Neural information retrieval often adopts a retrieve-and-rerank framewor...
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04/27/2023
DataComp: In search of the next generation of multimodal datasets
Large multimodal datasets have been instrumental in recent breakthroughs...
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03/16/2023
ART: Automatic multi-step reasoning and tool-use for large language models
Large language models (LLMs) can perform complex reasoning in few- and z...
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12/20/2022
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories
Despite their impressive performance on diverse tasks, large language mo...
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12/19/2022
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations
Although large language models can be prompted for both zero- and few-sh...
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12/08/2022
Editing Models with Task Arithmetic
Changing how pre-trained models behave – e.g., improving their performan...
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12/02/2022
Nonparametric Masked Language Modeling
Existing language models (LMs) predict tokens with a softmax over a fini...
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12/02/2022
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Models trained via empirical risk minimization (ERM) are known to rely o...
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12/01/2022
Data-Efficient Finetuning Using Cross-Task Nearest Neighbors
Language models trained on massive prompted multitask datasets like T0 (...
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11/30/2022
CREPE: Open-Domain Question Answering with False Presuppositions
Information seeking users often pose questions with false presupposition...
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11/16/2022
Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a re...
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10/25/2022
SciFact-Open: Towards open-domain scientific claim verification
While research on scientific claim verification has led to the developme...
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10/22/2022
Exploring The Landscape of Distributional Robustness for Question Answering Models
We conduct a large empirical evaluation to investigate the landscape of ...
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10/22/2022
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
Abstractive summarization models often generate inconsistent summaries c...
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10/10/2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Counterfactual data augmentation (CDA) – i.e., adding minimally perturbe...
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08/10/2022
Patching open-vocabulary models by interpolating weights
Open-vocabulary models like CLIP achieve high accuracy across many image...
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07/02/2022
INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
In an information-seeking conversation, a user converses with an agent t...
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05/24/2022
Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing
This work introduces ATTEMPT (Attentional Mixture of Prompt Tuning), a n...
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02/25/2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Large language models (LMs) are able to in-context learn – perform a new...
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02/23/2022
UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training
We present UnifiedQA-v2, a QA model built with the same process as Unifi...
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02/22/2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Question answering (QA) over real-world knowledge bases (KBs) is challen...
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12/16/2021
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Retrieval-augmented generation models have shown state-of-the-art perfor...
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12/02/2021
LongChecker: Improving scientific claim verification by modeling full-abstract context
We introduce the LongChecker system for scientific claim verification. G...
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12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
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10/29/2021
MetaICL: Learning to Learn In Context
We introduce MetaICL (Meta-training for In-Context Learning), a new meta...
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09/16/2021
Reframing Instructional Prompts to GPTk's Language
How can model designers turn task instructions into effective prompts fo...
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09/10/2021
DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization
Identifying relevant knowledge to be used in conversational systems that...
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09/04/2021
Robust fine-tuning of zero-shot models
Large pre-trained models such as CLIP offer consistent accuracy across a...
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08/09/2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
We introduce a noisy channel approach for language model prompting in fe...
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07/26/2021
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
We present CORA, a Cross-lingual Open-Retrieval Answer Generation model ...
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07/05/2021
FaVIQ: FAct Verification from Information-seeking Questions
Despite significant interest in developing general purpose fact checking...
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06/17/2021
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
Biomedical knowledge graphs (KGs) hold rich information on entities such...
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06/12/2021
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Many commonsense reasoning NLP tasks involve choosing between one or mor...
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06/02/2021
Efficient Passage Retrieval with Hashing for Open-domain Question Answering
Most state-of-the-art open-domain question answering systems use a neura...
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04/18/2021
Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions
Can we enable NLP models to appropriately respond to instructional promp...
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04/18/2021
GooAQ: Open Question Answering with Diverse Answer Types
While day-to-day questions come with a variety of answer types, the curr...
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04/17/2021
Joint Passage Ranking for Diverse Multi-Answer Retrieval
We study multi-answer retrieval, an under-explored problem that requires...
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03/24/2021
NaturalProofs: Mathematical Theorem Proving in Natural Language
Understanding and creating mathematics using natural mathematical langua...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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11/13/2020
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
Humans often have to read multiple documents to address their informatio...
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10/22/2020
XOR QA: Cross-lingual Open-Retrieval Question Answering
Multilingual question answering tasks typically assume answers exist in ...
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10/12/2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
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10/08/2020
