Fact Selection
7 papers with code • 1 benchmarks • 1 datasets
A task where an agent should select at most two sentences from the paper as argumentative facts.
Benchmarks
These leaderboards are used to track progress in Fact Selection
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
ArgSciChat
Most implemented papers
ArgSciChat: A Dataset for Argumentative Dialogues on Scientific Papers
The applications of conversational agents for scientific disciplines (as expert domains) are understudied due to the lack of dialogue data to train such agents.
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language
Recent works show that such models can also produce the reasoning steps (i. e., the proof graph) that emulate the model's logical reasoning process.
COVID-VTS: Fact Extraction and Verification on Short Video Platforms
We introduce a new benchmark, COVID-VTS, for fact-checking multi-modal information involving short-duration videos with COVID19- focused information from both the real world and machine generation.
Expository Text Generation: Imitate, Retrieve, Paraphrase
nbalepur/expository-text-generation
•
•
Expository documents are vital resources for conveying complex information to readers.
UFO: Unified Fact Obtaining for Commonsense Question Answering
UFO turns LLMs into knowledge sources and produces relevant facts (knowledge statements) for the given question.
Integrating Randomness in Large Language Models: A Linear Congruential Generator Approach for Generating Clinically Relevant Content
Generating diverse, high-quality outputs from language models is crucial for applications in education and content creation.
