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Found 21 papers, 7 papers with code
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.
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.
Are Human Interactions Replicable by Generative Agents? A Case Study on Pronoun Usage in Hierarchical Interactions
As Large Language Models (LLMs) advance in their capabilities, researchers have increasingly employed them for social simulation.
Rethinking Table Instruction Tuning
Recent advances in table understanding have focused on instruction-tuning large language models (LLMs) for table-related tasks.
Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models
Recent advances in natural language processing have leveraged instruction tuning to enhance Large Language Models (LLMs) for table-related tasks.
Table as Thought: Exploring Structured Thoughts in LLM Reasoning
Large language models' reasoning abilities benefit from methods that organize their thought processes, such as chain-of-thought prompting, which employs a sequential structure to guide the reasoning process step-by-step.
Chumor 2.0: Towards Benchmarking Chinese Humor Understanding
Existing humor datasets and evaluations predominantly focus on English, leaving limited resources for culturally nuanced humor in non-English languages like Chinese.
Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba
Existing humor datasets and evaluations predominantly focus on English, lacking resources for culturally nuanced humor in non-English languages like Chinese.
$R^3$: "This is My SQL, Are You With Me?" A Consensus-Based Multi-Agent System for Text-to-SQL Tasks
Large Language Models (LLMs) have demonstrated strong performance on various tasks.
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs
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.
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Video Question Answering
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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
Conversation Summarization
+4
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.
