conftrace_

Zheng Liu

80 papers · 2017–2026 · 13 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+14 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13)
πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer πŸƒ Academic Marathon (8) 🀝 Dynamic Duo (22) πŸ† Grand Slam πŸ‘₯ Mega-Team (82) πŸ”¬ Deep Specialist (21) 🧬 Topic Evolution πŸ† Keyword Champion (4) ❓ The Questioner (2) πŸ’Ž Century Club (68) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (320) ⚑ Prolific Year (5)

Conferences

ACL (25) EMNLP (16) AAAI (10) CVPR (7) NIPS (5) ICCV (4) ICLR (4) COLING (3) IJCAI (2) ACML (1) ECCV (1) ICML (1) INTERSPEECH (1)

Papers

RetroLM: Retrieval-Augmented KVs for Long-Context Processing AAAI 2026 Towards Effective Code-Integrated Reasoning AAAI 2026 MoEGaze: A Mixture of Experts Approach for Generalizable Gaze Estimation AAAI 2026 Guiding Point Cloud Denoising with Learned Structural Priors AAAI 2026 Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs ACL 2026 EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models ACL 2026 ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ACL 2026 Heterogeneous Adaptive Policy Optimization: Tailoring Optimization to Every Token’s Nature ACL 2026 MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing ACL 2026 AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse ACL 2026 Reinforcing Agentic Search Via Reward Density Optimization ACL 2026 ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval ACL 2026 How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA COLING 2025 You Should Learn to Stop Denoising on Point Clouds in Advance AAAI 2025 Noisy Label Calibration for Multi-View Classification AAAI 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning AAAI 2025 Boosting Long-Context Information Seeking via Query-Guided Activation Refilling ACL 2025 MegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval ACL 2025 Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval ACL 2025 AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark ACL 2025 Reinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval ACL 2025 FineRAG: Fine-grained Retrieval-Augmented Text-to-Image Generation COLING 2025 Fuzzy Multimodal Learning for Trusted Cross-modal Retrieval CVPR 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly CVPR 2025 MLVU: Benchmarking Multi-task Long Video Understanding CVPR 2025 Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding CVPR 2025 OmniGen: Unified Image Generation CVPR 2025 Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization EMNLP 2025 MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds EMNLP 2025 TVQACML: Benchmarking Text-Centric Visual Question Answering in Multilingual Chinese Minority Languages EMNLP 2025 SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis EMNLP 2025 SMARTMiner: Extracting and Evaluating SMART Goals from Low-Resource Health Coaching Notes EMNLP 2025 AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels EMNLP 2025 STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding? ICCV 2025 Learning to See in the Extremely Dark ICCV 2025 MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers ICCV 2025 Long Context Compression with Activation Beacon ICLR 2025 Making Text Embedders Few-Shot Learners ICLR 2025 MMTEB: Massive Multilingual Text Embedding Benchmark ICLR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking ICLR 2025 Enhancing Spectral GNNs: From Topology and Perturbation Perspectives ICML 2025 Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling IJCAI 2025 VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval ACL 2024 Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models ACL 2024 Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval ACL 2024 A Multi-Task Embedder For Retrieval Augmented LLMs ACL 2024 M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation ACL 2024 LM-Cocktail: Resilient Tuning of Language Models via Model Merging ACL 2024 RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment EMNLP 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024 Boosting the Potential of Large Language Models with an Intelligent Information Assistant NIPS 2024 ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval EMNLP 2024 Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment EMNLP 2024 Grounding Language Model with Chunking-Free In-Context Retrieval ACL 2024 INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning ACL 2024 Document Image Shadow Removal Guided by Color-Aware Background CVPR 2023 Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval EMNLP 2023 Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval EMNLP 2023 A Self-training Framework for Automated Medical Report Generation EMNLP 2023 RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models ACL 2023 Lightweight Transformer for Multi-Modal Object Detection (Student Abstract) AAAI 2023 RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder EMNLP 2022 Towards Generalizeable Semantic Product Search by Text Similarity Pre-training on Search Click Logs ACL 2022 Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding COLING 2022 A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract) AAAI 2022 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Recommender Forest for Efficient Retrieval NIPS 2022 A Neural Corpus Indexer for Document Retrieval NIPS 2022 GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph NIPS 2021 Matching-oriented Embedding Quantization For Ad-hoc Retrieval EMNLP 2021 Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search EMNLP 2021 Sampling-Decomposable Generative Adversarial Recommender NIPS 2020 All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling ECCV 2020 Fine-grained Interest Matching for Neural News Recommendation ACL 2020 Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network IJCAI 2019 Vehicle Re-Identification With Viewpoint-Aware Metric Learning ICCV 2019 Neural News Recommendation with Long- and Short-term User Representations ACL 2019 Feedback Network for Image Super-Resolution CVPR 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders ACML 2019 Speaker Direction-of-Arrival Estimation Based on Frequency-Independent Beampattern INTERSPEECH 2017