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SHIZHE DIAO

34 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (5) 🀝 Dynamic Duo (21) 🧬 Topic Evolution πŸ’Ž Century Club (33) ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (135) ❓ The Questioner πŸ”₯ Unstoppable (6)

Conferences

EMNLP (10) ACL (9) ICLR (3) ICML (3) IJCNLP (2) NAACL (2) NIPS (2) EACL (1) ICCV (1) IJCAI (1)

Papers

Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception ACL 2026 UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ICML 2025 MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving ICML 2025 Can We Verify Step by Step for Incorrect Answer Detection? IJCAI 2025 Hymba: A Hybrid-head Architecture for Small Language Models ICLR 2025 LongMamba: Enhancing Mamba's Long-Context Capabilities via Training-Free Receptive Field Enlargement ICLR 2025 Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025 TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts EMNLP 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NIPS 2024 Active Prompting with Chain-of-Thought for Large Language Models ACL 2024 Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards ACL 2024 VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning ACL 2024 Plum: Prompt Learning using Metaheuristics ACL 2024 ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases EACL 2024 Mitigating the Alignment Tax of RLHF EMNLP 2024 SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales EMNLP 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation EMNLP 2024 The Instinctive Bias: Spurious Images lead to Illusion in MLLMs EMNLP 2024 R-Tuning: Instructing Large Language Models to Say β€˜I Don’t Know’ NAACL 2024 LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models NAACL 2024 DetGPT: Detect What You Need via Reasoning EMNLP 2023 Towards Unifying Medical Vision-and-Language Pre-Training via Soft Prompts ICCV 2023 Write and Paint: Generative Vision-Language Models are Unified Modal Learners ICLR 2023 Doolittle: Benchmarks and Corpora for Academic Writing Formalization EMNLP 2023 On the Difference of BERT-style and CLIP-style Text Encoders ACL 2023 Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories ACL 2023 Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data EMNLP 2023 VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training ICML 2022 Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ACL 2021 TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation ACL 2021 TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation IJCNLP 2021 Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation IJCNLP 2021 Efficient Neural Network Training via Forward and Backward Propagation Sparsification NIPS 2021 ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations EMNLP 2020