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KJ

Kokil Jaidka

AAAI 2026×2ACL 2026×2社会与人本可解释性数据与预训练多语言与语言学对齐与偏好
新星分资深
24
一作贡献0
核心/参与12
方向广度13
合作网络3
0 一作 · 4 篇 · AAAI 2026 / ACL 2026

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2026 顶会论文

4
作者位次 #4/4ACL 2026Findings· Findings of ACL

Disentangling Codemixing in Chats: The NUS ABC Codemixed Corpus

Svetlana Churina · Akshat Gupta · Nur Insyirah Binte Imam Mujtahid · Kokil Jaidka

摘要

Code-mixing involves the seamless integration of linguistic elements from multiple languages within a single discourse, reflecting natural multilingual communication patterns. Despite its prominence in informal interactions such as social media, chat messages and instant-messaging exchanges, ther...

社会与人本数据与预训练多语言与语言学OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

Learning Through Dialogue: Engagement and Efficacy Matter More Than Explanations

Shaz Furniturewala · Gerard Christopher Yeo · Kokil Jaidka

摘要

Large language models (LLMs) are increasingly used as conversational partners for learning, yet the interactional dynamics supporting users’ learning and engagement are understudied. We analyze the linguistic and interactional features from both LLM and participant chats across 397 human–LLM conv...

社会与人本对齐与偏好可解释性OpenReview 项目页
作者位次 #3/3AAAI 2026Poster· Artificial Intelligence

Always Refuse: Steering LLMs Against Jailbreaks with Contrastive Activations (Student Abstract)

Abhilekh Borah · Chebrolu Niranjan · Kokil Jaidka

安全可解释性OpenReview

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