Musashi Hinck

6 papers · 2023–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) ❓ The Questioner (2)

Venues

EMNLP (3) AAAI (1) ACL (1) NeurIPS (1)

Top co-authors

VASUDEV LAL (3) Matthew Lyle Olson (3) Sungduk Yu (2) Neale Ratzlaff (2) Shao-Yen Tseng (2) Anne Lauscher (1) Tri Nguyen (1) Till Raphael Saenger (1) Hannah Kirk (1) Naoki Egami (1)

Research topics

Artificial Intelligence (5) Core AI (5) Natural Language Processing (4) Machine Learning (3) Applications (2) Optimization & Theory (2) Resources & Methods (2) Deep Learning (1) Interdisciplinary (1) Core Methods (1) Learning Types (1) Models (1) Social (1)

Keywords

large language model (2) statistical inference (1) text classification (1) opinion mining (1) argument mining (1) model evaluation (1) language modeling (1) multimodal learning (1) causal effect estimation (1) responsible ai (1) persuasion detection (1) machine learning (1) strategic reasoning (1) topic model (1) language model (1) mixture of expert (1) vision-language model (1) value alignment (1) expert routing (1) asymptotic unbiasedness (1)

Papers

LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models AAAI 2026 Probing Semantic Routing in Large Mixture-of-Expert Models EMNLP 2025 AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments EMNLP 2024 Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models ACL 2024 Why do LLaVA Vision-Language Models Reply to Images in English? EMNLP 2024 Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models NeurIPS 2023