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Found 10 papers, 3 papers with code
Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning Gap
Models that solve a reasoning test should exhibit no difference in performance over the static version of a problem compared to a snapshot of the functional variant.
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
Large language models (LLMs) have revolutionized zero-shot task performance, mitigating the need for task-specific annotations while enhancing task generalizability.
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing
In this work, we propose a new task of simulating NL feedback for interactive semantic parsing.
Complex Question Answering on knowledge graphs using machine translation and multi-task learning
Question answering (QA) over a knowledge graph (KG) is a task of answering a natural language (NL) query using the information stored in KG.
A Novel Hierarchical BERT Architecture for Sarcasm Detection
Online discussion platforms are often flooded with opinions from users across the world on a variety of topics.
Detecting Aggression and Toxicity using a Multi Dimension Capsule Network
We compare the results of our model with state-of-art classification algorithms and demonstrate our model{'}s ability.
PUTWorkbench: Analysing Privacy in AI-intensive Systems
AI intensive systems that operate upon user data face the challenge of balancing data utility with privacy concerns.
Identifying Aggression and Toxicity in Comments using Capsule Network
As comments tend to be written in more than one language, and transliteration is a common problem, we further show that our model handles this effectively by applying our model on TRAC shared task dataset which contains comments in code-mixed Hindi-English.
