Thrilled to be at #EMNLP this week in Miami, presenting our latest work on Structured Data! Come by our posters and let’s chat! 🎉 📌 Birds-of-a-Feather: NLP for Structured Data 🐦 will discuss challenges in structured data—tables, graphs, charts, and more. Share ideas, get feedback, and connect—great for junior researchers. Don’t miss it! 📍 Room: Miami Lecture Hall (Convention Center Level 2) 🗓️ Nov 12 (Tue) 16:00–17:30 📌 Main Track: Evaluating Concurrent Robustness of LMs Across Diverse Challenge Sets 🧠 TL;DR: How can we make LMs robust against multiple adversarial challenges simultaneously? With @mohitban47, @DanRothNLP, and others 🗓️ Session 6: Interpretability & Analysis for NLP 3 📍 Nov 13 (Wed) 10:30–12:00 (I’ll present) 📌 Findings Track: 1️⃣ Knowledge-Aware Reasoning over Multimodal Semi-structured Tables 📊 TL;DR: A first-of-its-kind task—reasoning over multimodal tables (text + images). With @mohitban47, @DanRothNLP, and others 🗓️ Session 6: Resources & Evaluation 3 📍 Nov 13 (Wed) 10:30–12:00 (Suyash & Harshita present) 2️⃣ Do LLMs Really Understand Charts? 🔍 TL;DR: VLMs seem accurate on charts, but consistency & robustness? Not so much. With @AparnaGarimell2, Pritika, @DanRothNLP, and others 🗓️ Session 12: Multimodality & Language Grounding 5 📍 Nov 14 (Thu) 14:00–15:30 (Aparna, Pritika, & I’ll present) 📌 Workshop (@BlackboxNLP 2024): Enhancing QA on Charts via Effective Pre-training Tasks 💡 TL;DR: Can simple pre-training tasks make chart QA models more robust? With @ashimgupta95, Shalin, Shuo and others 📍 Nov 15, 15:30–16:30 (Shalin, I'll presents) 🚀 PS: Always open to collaborations and mentoring talented students (Hiring @SCAI_ASU, @ASU) — let’s connect! 🤝 #AI #NLP

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