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Shitao Xiao

27 papers · 2021–2026 · 8 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.

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (54) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (26) πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Legion 🌈 Renaissance Researcher (5) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (135) πŸ”₯ Unstoppable Β· Bronze

Papers

EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models ACL 2026 OmniGen2: Towards Instruction-Aligned Multimodal Generation CVPR 2026 Reinforcing Agentic Search Via Reward Density Optimization ACL 2026 RetroLM: Retrieval-Augmented KVs for Long-Context Processing AAAI 2026 AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval ACL 2025 FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation COLING 2025 Long Context Compression with Activation Beacon ICLR 2025 Making Text Embedders Few-Shot Learners ICLR 2025 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval ACL 2025 MLVU: Benchmarking Multi-task Long Video Understanding CVPR 2025 MMTEB: Massive Multilingual Text Embedding Benchmark ICLR 2025 OmniGen: Unified Image Generation CVPR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking ICLR 2025 A Multi-Task Embedder For Retrieval Augmented LLMs ACL 2024 Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models ACL 2024 Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024 Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024 LM-Cocktail: Resilient Tuning of Language Models via Model Merging ACL 2024 M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation ACL 2024 SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms ICML 2024 VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval ACL 2024 Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval EMNLP 2023 RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models ACL 2023 RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder EMNLP 2022 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NeurIPS 2021 Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021