Yitong Li

Real Garment Benchmark (RGBench): A Comprehensive Benchmark for Robotic Garment Manipulation Featuring a High-Fidelity Scalable Simulator AAAI 2026 VLR-Driver: Large Vision-Language-Reasoning Models for Embodied Autonomous Driving ICCV 2025 Mixture of Lookup Experts ICML 2025 DiaMond: Dementia Diagnosis with Multi-Modal Vision Transformers using MRI and PET WACV 2025 Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning EMNLP 2025 CodeDiffuser: Attention-Enhanced Diffusion Policy via VLM-Generated Code for Instruction Ambiguity RSS 2025 From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data MIDL 2024 PASTA: Pathology-Aware MRI to PET CroSs-modal TrAnslation with Diffusion Models MICCAI 2024 KEEP CHATTING! An Attractive Dataset for Continuous Conversation Agents ACL 2024 Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation NIPS 2024 Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities COLING 2024 Diffusion Spectral Representation for Reinforcement Learning NIPS 2024 Broadcasting Support Relations Recursively from Local Dynamics for Object Retrieval in Clutters RSS 2024 Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification AAAI 2024 GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation NIPS 2024 A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation ACL 2024 More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation ACL 2024 Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation ACL 2024 ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models ACL 2024 Unveiling the Spectrum of Data Contamination in Language Model: A Survey from Detection to Remediation ACL 2024 Concise and Precise Context Compression for Tool-Using Language Models ACL 2024 CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models ACL 2023 KPT: Keyword-Guided Pre-training for Grounded Dialog Generation AAAI 2023 Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables AAAI 2023 On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks CVPR 2023 ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue EMNLP 2023 Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue ACL 2023 Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models ACL 2023 A Synthetic Data Generation Framework for Grounded Dialogues ACL 2023 Polarimetric Pose Prediction ECCV 2022 CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems AAAI 2022 RotateQVS: Representing Temporal Information as Rotations in Quaternion Vector Space for Temporal Knowledge Graph Completion ACL 2022 Compilable Neural Code Generation with Compiler Feedback ACL 2022 UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues ACL 2022 Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation COLING 2022 PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation With Photometrically Challenging Objects CVPR 2022 AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning EMNLP 2022 FairLib: A Unified Framework for Assessing and Improving Fairness EMNLP 2022 Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark EMNLP 2022 Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder EMNLP 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Learning to Weight Filter Groups for Robust Classification WACV 2022 Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training EMNLP 2021 Estimating Uncertainty Intervals from Collaborating Networks JMLR 2021 Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020 Dynamic Embedding on Textual Networks via a Gaussian Process AAAI 2020 Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness EMNLP 2020 Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods NIPS 2019 On Target Shift in Adversarial Domain Adaptation AISTATS 2019 Semi-supervised Stochastic Multi-Domain Learning using Variational Inference ACL 2019 StoryGAN: A Sequential Conditional GAN for Story Visualization CVPR 2019 Learning Context-Sensitive Convolutional Filters for Text Processing EMNLP 2018 Diffusion Maps for Textual Network Embedding NIPS 2018 Towards Robust and Privacy-preserving Text Representations ACL 2018 Multi-Label Learning from Medical Plain Text with Convolutional Residual Models MLHC 2018 What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training NAACL 2018 Extracting Relationships by Multi-Domain Matching NIPS 2018 Robust Training under Linguistic Adversity EACL 2017 Targeting EEG/LFP Synchrony with Neural Nets NIPS 2017 UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures SEMEVAL 2016 Learning Robust Representations of Text EMNLP 2016 Entity Linking for Tweets ACL 2013 Graph-Based Multi-Tweet Summarization using Social Signals COLING 2012