Search Results for author:
Found 15 papers, 6 papers with code
Analyzing the Effects of Annotator Gender across NLP Tasks
Recent studies have shown that for subjective annotation tasks, the demographics, lived experiences, and identity of annotators can have a large impact on how items are labeled.
In-the-Wild Video Question Answering
Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the “in the wild” settings, where the videos are recorded outdoors.
SQL-CRAFT: Text-to-SQL through Interactive Refinement and Enhanced Reasoning
Modern LLMs have become increasingly powerful, but they are still facing challenges in specialized tasks such as Text-to-SQL.
Tables as Images? Exploring the Strengths and Limitations of LLMs on Multimodal Representations of Tabular Data
In this paper, we investigate the effectiveness of various LLMs in interpreting tabular data through different prompting strategies and data formats.
HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models
Theory of Mind (ToM) is the ability to reason about one's own and others' mental states.
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond
We propose task-adaptive tokenization as a way to adapt the generation pipeline to the specifics of a downstream task and enhance long-form generation in mental health.
You Are What You Annotate: Towards Better Models through Annotator Representations
Annotator disagreement is ubiquitous in natural language processing (NLP) tasks.
EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms
Our results show that our system can meet the diverse needs of NLP researchers and significantly accelerate the annotation process.
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models
Not surprisingly, this has, in turn, made many NLP researchers -- especially those at the beginning of their careers -- worry about what NLP research area they should focus on.
Query Rewriting for Effective Misinformation Discovery
We propose a novel system to help fact-checkers formulate search queries for known misinformation claims and effectively search across multiple social media platforms.
WildQA: In-the-Wild Video Question Answering
Existing video understanding datasets mostly focus on human interactions, with little attention being paid to the "in the wild" settings, where the videos are recorded outdoors.
Ranked #1 on
Video Question Answering
on WildQA
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect
Text-to-SQL has attracted attention from both the natural language processing and database communities because of its ability to convert the semantics in natural language into SQL queries and its practical application in building natural language interfaces to database systems.
DialogSum Challenge: Results of the Dialogue Summarization Shared Task
We report the results of DialogSum Challenge, the shared task on summarizing real-life scenario dialogues at INLG 2022.
The Cross-lingual Conversation Summarization Challenge
We propose the shared task of cross-lingual conversation summarization, \emph{ConvSumX Challenge}, opening new avenues for researchers to investigate solutions that integrate conversation summarization and machine translation.
Abstractive Dialogue Summarization
Cross-Lingual Abstractive Summarization
+3
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions
Existing text-to-SQL research only considers complete questions as the input, but lay-users might strive to formulate a complete question.
