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Dongrui Liu

22 papers · 2021–2026 · 6 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (55) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (11) ❓ The Questioner πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Prolific πŸ—ƒοΈ Keyword Collector (115)

Papers

AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ACL 2026 AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems ACL 2026 Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models AAAI 2026 IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks AAAI 2026 ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging ACL 2026 Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective ACL 2025 Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning CVPR 2025 EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models ACL 2025 LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025 LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts ACL 2025 REEF: Representation Encoding Fingerprints for Large Language Models ICLR 2025 The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations EMNLP 2025 The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models ACL 2025 VLSBench: Unveiling Visual Leakage in Multimodal Safety ACL 2025 X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Jailbreak Attacks without Compromising Usability EMNLP 2025 Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024 Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024 MLP Can Be A Good Transformer Learner CVPR 2024 Towards the Dynamics of a DNN Learning Symbolic Interactions NeurIPS 2024 Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities NeurIPS 2023 Interpreting Representation Quality of DNNs for 3D Point Cloud Processing NeurIPS 2021