Shadi Iskander

MSc student @ Technion | Passionate about NLP research

[Shadi Iskander @shadi_isk]

Excited to share that our paper on data quality evaluation for tool-using LLMs has been accepted to EMNLP 2024 Main🎉

We propose two automatic data quality evaluation metric, showing that high-quality, smaller datasets outperform larger, unvalidated ones.
https://t.co/N9sDrsJzSe

[Shadi Iskander @shadi_isk]

Why it matters?
- Ensures models trained for tool usage are more reliable.
- Helps optimize resources, allowing for smaller, well-curated datasets instead of relying on massive, noisy data.

#EMNLP2024

[Shadi Iskander @shadi_isk]

Excited to share that our paper on data quality evaluation for tool-using LLMs has been accepted to EMNLP 2024 Main🎉

We propose two automatic data quality evaluation metric, showing that high-quality, smaller datasets outperform larger, unvalidated ones.
https://t.co/N9sDrsJzSe

[Shadi Iskander @shadi_isk]

We show that smaller, high-quality datasets led to better or comparable performance than larger, unvalidated sets.
Proven on ToolBench and ToolAlpaca benchmarks, highlighting the critical role of data quality in LLM training.

[Shadi Iskander @shadi_isk]

Attending #NAACL🇲🇽? Come check out our poster and learn how we tackle social bias in language models without explicit demographic information.

Meet me tomorrow at 9:00, Poster Session 4.
https://t.co/qiaR24g9xH
@boknilev @KiraRadinsky

[Yonatan Belinkov @boknilev]

Can you list three influential people from the 19th century?

(Please answer without using ChatGPT or any other generative AI.)

And please retweet.

@MichalShur

[Shadi Iskander @shadi_isk]

- Paper: https://t.co/lki2IHLMDy
- Presentation Schedule @aclmeeting :
Thursday, July 13, 16:30pm EDT @ Harbour B #Repl4NLP
Friday, July 14, 11:40am EDT @ Pier 4 @trustnlp

Join us to learn more about our work! #ACL2023NLP #NLP #Fairness

[Shadi Iskander @shadi_isk]

I will present at #ACL2023 our poster of the ACL Findings paper titled 'Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection' in collaboration with @boknilev and @KiraRadinsky.

[Shadi Iskander @shadi_isk]

Our research introduces a novel approach that effectively eliminates non-linear encoded concepts from neural representations, aiming to address social biases and enhance fairness in natural language processing models.