47 citations · 55 across the 4 of their papers we have counts for
4 papers
Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
Yuval Reif, Roy Schwartz
Large language models (LLMs) have shown remarkable adaptability to diverse tasks, by leveraging context prompts containing instructions, or minimal input-output examples. However,…
Exploring the Limits of Transfer Learning with Unified Model in the Cybersecurity Domain
Kuntal Kumar Pal, Kazuaki Kashihara, Ujjwala Anantheswaran +3
With the increase in cybersecurity vulnerabilities of software systems, the ways to exploit them are also increasing. Besides these, malware threats, irregular network interactions…
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi +37
How well can NLP models generalize to a variety of unseen tasks when provided with task instructions? To address this question, we first introduce Super-NaturalInstructions, a benc…
Less is More: Summary of Long Instructions is Better for Program Synthesis
Kirby Kuznia, Swaroop Mishra, Mihir Parmar +1
Despite the success of large pre-trained language models (LMs) such as Codex, they show below-par performance on the larger and more complicated programming related questions. We s…