Tao Feng
37 papers · 2022–2026 · 13 conferences · across top CS/AI conferences
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ACL (6)
ICML (5)
AAAI (4)
CVPR (4)
EMNLP (3)
ICCV (3)
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NAACL (2)
NIPS (2)
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Research topics
Keywords
continual learning
(5)
catastrophic forgetting
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large language model
(4)
object detection
(3)
dialogue system
(3)
causal discovery
(3)
causal inference
(2)
knowledge distillation
(2)
retrieval-augmented generation
(2)
self-supervised learning
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vision-language model
(2)
causal relation
(2)
variational inference
(1)
domain generalization
(1)
network architecture
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temporal modeling
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zero-shot learning
(1)
few-shot learning
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video generation
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multi-task learning
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Papers
Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search
ACL 2026
Adapt Before Continual Learning
AAAI 2026
MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems
ACL 2026
Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
AAAI 2026
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
ACL 2025
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems
COLING 2025
Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning
ICCV 2025
PointTalk: Audio-Driven Dynamic Lip Point Cloud for 3D Gaussian-based Talking Head Synthesis
AAAI 2025
IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data
ACL 2025
On the Reliability of Large Language Models for Causal Discovery
ACL 2025
MUST: The First Dataset and Unified Framework for Multispectral UAV Single Object Tracking
CVPR 2025
Task-driven Image Fusion with Learnable Fusion Loss
CVPR 2025
SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images
ICCV 2025
GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluation
ICLR 2025
GraphRouter: A Graph-based Router for LLM Selections
ICLR 2025
ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think
ICML 2025
Graph World Model
ICML 2025
Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
ICML 2025
A Stronger Mixture of Low-Rank Experts for Fine-Tuning Foundation Models
ICML 2025
ResearchTown: Simulator of Human Research Community
ICML 2025
ACCESS : A Benchmark for Abstract Causal Event Discovery and Reasoning
NAACL 2025
Deep Reinforcement Learning for Modelling Protein Complexes
ICLR 2024
Make Continual Learning Stronger via C-Flat
NIPS 2024
Letβs Negotiate! A Survey of Negotiation Dialogue Systems
EACL 2024
Teaching Small Language Models Reasoning through Counterfactual Distillation
EMNLP 2024
Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
EMNLP 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
Revisiting Neural Networks for Continual Learning: An Architectural Perspective
IJCAI 2024
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations
NAACL 2024
InstructVideo: Instructing Video Diffusion Models with Human Feedback
CVPR 2024
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
ACL 2024
SRNIC: A Scalable Architecture for RDMA NICs
NSDI 2023
RLIPv2: Fast Scaling of Relational Language-Image Pre-Training
ICCV 2023
Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items
AAAI 2023
Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing
NSDI 2022
Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation
CVPR 2022
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection
NIPS 2022