conftrace_

Michael Saxon

27 papers · 2019–2026 · 10 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (19) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (129) ⚑ Prolific Year (5) ❓ The Questioner (5) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (26)

Conferences

EMNLP (6) ACL (5) INTERSPEECH (5) NIPS (3) EACL (2) ICLR (2) AAAI (1) ICCV (1) IJCNLP (1) NAACL (1)

Papers

CAIRE: Cultural Attribution of Images with Retrieval EACL 2026 Can Vision Language Models Understand Mimed Actions? ACL 2025 TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation ACL 2025 VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs ICCV 2025 Culture is Everywhere: A Call for Intentionally Cultural Evaluation EMNLP 2025 Do You Know About My Nation? Investigating Multilingual Language Models’ Cultural Literacy Through Factual Knowledge EMNLP 2025 Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts EMNLP 2024 Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2) NIPS 2024 Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts NAACL 2024 CausalDialogue: Modeling Utterance-level Causality in Conversations ACL 2023 Let’s Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought EMNLP 2023 Multilingual Conceptual Coverage in Text-to-Image Models ACL 2023 Causal Balancing for Domain Generalization ICLR 2023 WikiWhy: Answering and Explaining Cause-and-Effect Questions ICLR 2023 Data Augmentation for Diverse Voice Conversion in Noisy Environments INTERSPEECH 2023 Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NIPS 2023 PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers EACL 2023 Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer AAAI 2022 Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis EMNLP 2022 Investigating Memorization of Conspiracy Theories in Text Generation IJCNLP 2021 End-to-End Spoken Language Understanding for Generalized Voice Assistants INTERSPEECH 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NIPS 2021 Modeling Disclosive Transparency in NLP Application Descriptions EMNLP 2021 Investigating Memorization of Conspiracy Theories in Text Generation ACL 2021 Semantic Complexity in End-to-End Spoken Language Understanding INTERSPEECH 2020 UncommonVoice: A Crowdsourced Dataset of Dysphonic Speech INTERSPEECH 2020 Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make INTERSPEECH 2019