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Biqing Qi

30 papers · 2023–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (13)
🗺️ Taxonomy Completionist (62) 🌍 Conference Polyglot (8) 🤝 Dynamic Duo (19) 🏆 Grand Slam 🏆 Keyword Champion (2) Prolific Year (11) 🗃️ Keyword Collector (115) 💎 Century Club (23)

Conferences

ACL (10) EMNLP (5) NIPS (5) AAAI (4) CVPR (2) NAACL (2) ICLR (1) ICML (1)

Papers

A Survey of Inductive Reasoning for Large Language Models ACL 2026 D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning AAAI 2026 GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning AAAI 2026 Nirvana: A Specialized Generalist Model With Task-Aware Memory Mechanism ACL 2026 MARS2: Scaling Multi-Agent Tree Search via Reinforcement Learning for Code Generation ACL 2026 WIST: Web-Grounded Iterative Self-Play Tree for Domain-Targeted Reasoning Improvement ACL 2026 SDAR-VL: Stable and Efficient Block-wise Diffusion for Vision-Language Understanding ACL 2026 Retrieval-Augmented Visual Question Answering via Built-in Autoregressive Search Engines AAAI 2025 Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025 ReviewRL: Towards Automated Scientific Review with RL EMNLP 2025 Fast and Slow Gradient Approximation for Binary Neural Network Optimization AAAI 2025 Scalability of LLM-Based Multi-Agent Systems for Scientific Code Generation: A Preliminary Study EMNLP 2025 OpenPRM: Building Open-domain Process-based Reward Models with Preference Trees ICLR 2025 Fourier Position Embedding: Enhancing Attention’s Periodic Extension for Length Generalization ICML 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning ACL 2025 Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System ACL 2025 MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making EMNLP 2024 Exploring Adversarial Robustness of Deep State Space Models NIPS 2024 UltraMedical: Building Specialized Generalists in Biomedicine NIPS 2024 Neural Residual Diffusion Models for Deep Scalable Vision Generation NIPS 2024 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning NIPS 2024 CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024 SMR: State Memory Replay for Long Sequence Modeling ACL 2024 Interactive Continual Learning: Fast and Slow Thinking CVPR 2024 On the token distance modeling ability of higher RoPE attention dimension EMNLP 2024 On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024 PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning NAACL 2024 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability NIPS 2023 CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model EMNLP 2023