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09/16/2023
Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?
Despite the power of Large Language Models (LLMs) like GPT-4, they still...
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09/16/2023
ODSum: New Benchmarks for Open Domain Multi-Document Summarization
Open-domain Multi-Document Summarization (ODMDS) is a critical tool for ...
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09/15/2023
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets
Using large language models (LMs) for query or document expansion can im...
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05/24/2023
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
The integration of multi-document pre-training objectives into language ...
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05/24/2023
Large Language Models are Effective Table-to-Text Generators, Evaluators, and Feedback Providers
Large language models (LLMs) have shown remarkable ability on controllab...
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05/24/2023
A Controllable QA-based Framework for Decontextualization
Many real-world applications require surfacing extracted snippets to use...
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05/23/2023
QTSumm: A New Benchmark for Query-Focused Table Summarization
People primarily consult tables to conduct data analysis or answer speci...
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05/23/2023
On Learning to Summarize with Large Language Models as References
Recent studies have found that summaries generated by large language mod...
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05/21/2023
Enhancing Few-shot Text-to-SQL Capabilities of Large Language Models: A Study on Prompt Design Strategies
In-context learning (ICL) has emerged as a new approach to various natur...
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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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05/15/2023
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
Diffusion models have emerged as a powerful paradigm for generation, obt...
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01/30/2023
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization
While human evaluation remains best practice for accurately judging the ...
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01/24/2023
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated...
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12/20/2022
Exploring the Challenges of Open Domain Multi-Document Summarization
Multi-document summarization (MDS) has traditionally been studied assumi...
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11/23/2022
SciRepEval: A Multi-Format Benchmark for Scientific Document Representations
Learned representations of scientific documents can serve as valuable in...
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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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07/11/2022
Embedding Recycling for Language Models
Training and inference with large neural models is expensive. However, f...
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04/21/2022
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
Automated methods have been widely used to identify and analyze mental h...
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03/24/2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Automated scientific fact checking is difficult due to the complexity of...
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12/16/2021
Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering
Long-range transformer models have achieved encouraging results on long-...
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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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11/16/2021
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
We present Aspire, a new scientific document similarity model based on m...
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10/16/2021
PRIMER: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization
Recently proposed pre-trained generation models achieve strong performan...
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07/15/2021
FLEX: Unifying Evaluation for Few-Shot NLP
Few-shot NLP research is highly active, yet conducted in disjoint resear...
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07/01/2021
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
Citation context analysis (CCA) is an important task in natural language...
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05/07/2021
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
Readers of academic research papers often read with the goal of answerin...
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03/03/2021
Simplified Data Wrangling with ir_datasets
Managing the data for Information Retrieval (IR) experiments can be chal...
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01/02/2021
Cross-Document Language Modeling
We introduce a new pretraining approach for language models that are gea...
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12/28/2020
On Generating Extended Summaries of Long Documents
Prior work in document summarization has mainly focused on generating sh...
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11/02/2020
ABNIRML: Analyzing the Behavior of Neural IR Models
Numerous studies have demonstrated the effectiveness of pretrained conte...
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10/12/2020
SLEDGE-Z: A Zero-Shot Baseline for COVID-19 Literature Search
With worldwide concerns surrounding the Severe Acute Respiratory Syndrom...
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05/05/2020
SLEDGE: A Simple Yet Effective Baseline for Coronavirus Scientific Knowledge Search
With worldwide concerns surrounding the Severe Acute Respiratory Syndrom...
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04/30/2020
TLDR: Extreme Summarization of Scientific Documents
We introduce TLDR generation for scientific papers, a new automatic summ...
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04/30/2020
Fact or Fiction: Verifying Scientific Claims
We introduce the task of scientific fact-checking. Given a corpus of sci...
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04/15/2020
SPECTER: Document-level Representation Learning using Citation-informed Transformers
Representation learning is a critical ingredient for natural language pr...
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04/15/2020
Document-level Representation Learning using Citation-informed Transformers
Representation learning is a critical ingredient for natural language pr...
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04/10/2020
Longformer: The Long-Document Transformer
Transformer-based models are unable to process long sequences due to the...
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01/18/2020
Ranking Significant Discrepancies in Clinical Reports
Medical errors are a major public health concern and a leading cause of ...
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09/17/2019
Extracting evidence of supplement-drug interactions from literature
Dietary supplements are used by a large portion of the population, but i...
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09/09/2019
Pretrained Language Models for Sequential Sentence Classification
As a step toward better document-level understanding, we explore classif...
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05/14/2019
Ontology-Aware Clinical Abstractive Summarization
Automatically generating accurate summaries from clinical reports could ...
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04/15/2019
CEDR: Contextualized Embeddings for Document Ranking
Although considerable attention has been given to neural ranking archite...
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04/15/2019
Contextualized Word Representations for Document Re-Ranking
Although considerable attention has been given to neural ranking archite...
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04/02/2019
Structural Scaffolds for Citation Intent Classification in Scientific Publications
Identifying the intent of a citation in scientific papers (e.g., backgro...
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03/26/2019
SciBERT: Pretrained Contextualized Embeddings for Scientific Text
Obtaining large-scale annotated data for NLP tasks in the scientific dom...
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11/21/2018
Overcoming low-utility facets for complex answer retrieval
Many questions cannot be answered simply; their answers must include num...
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06/20/2018
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
Self-reported diagnosis statements have been widely employed in studying...
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06/13/2018
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
Mental health is a significant and growing public health concern. As lan...
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05/02/2018
Characterizing Question Facets for Complex Answer Retrieval
Complex answer retrieval (CAR) is the process of retrieving answers to q...
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04/19/2018