Search Results for author:
Found 10 papers, 6 papers with code
Do LLMs Know to Respect Copyright Notice?
Prior study shows that LLMs sometimes generate content that violates copyright.
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions
SPINACH achieves a new state of the art on the QALD-7, QALD-9 Plus and QALD-10 datasets by 31. 0%, 27. 0%, and 10. 0% in $F_1$, respectively, and coming within 1. 6% of the fine-tuned LLaMA SOTA model on WikiWebQuestions.
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing
We introduce SPAGHETTI: Semantic Parsing Augmented Generation for Hybrid English information from Text Tables and Infoboxes, a hybrid question-answering (QA) pipeline that utilizes information from heterogeneous knowledge sources, including knowledge base, text, tables, and infoboxes.
Reverse Image Retrieval Cues Parametric Memory in Multimodal LLMs
Concretely, our experiments suggest that RIR augmentation helps by providing further visual and textual cues without necessarily containing the direct answer to a query.
InfoPattern: Unveiling Information Propagation Patterns in Social Media
Social media play a significant role in shaping public opinion and influencing ideological communities through information propagation.
SUQL: Conversational Search over Structured and Unstructured Data with Large Language Models
This paper presents the first conversational agent that supports the full generality of hybrid data access for large knowledge corpora, through a language we developed called SUQL (Structured and Unstructured Query Language).
Word Embeddings Are Steers for Language Models
In this work, we theoretically and empirically revisit output word embeddings and find that their linear transformations are equivalent to steering language model generation styles.
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training
But current approaches to rich-number tasks with transformer-based language models abandon or lose some of the numeracy information - e. g., breaking numbers into sub-word tokens - which leads to many number-related errors.
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
Numerical Question Answering is the task of answering questions that require numerical capabilities.
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks
Tabular data analysis is performed every day across various domains.
