Junbo Zhao

An Invariant Latent Space Perspective on Language Model Inversion AAAI 2026 Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph ACL 2026 Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination ACL 2026 LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains EMNLP 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL ICLR 2025 Towards Reverse Engineering of Language Models: A Survey EMNLP 2025 LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025 CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025 Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models EMNLP 2025 RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering EMNLP 2025 CrowdAgent: Multi-Agent Managed Multi-Source Annotation System EMNLP 2025 Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models NAACL 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025 Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025 D.Va: Validate Your Demonstration First Before You Use It ACL 2025 Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation ACL 2025 Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition ACL 2025 RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis ACL 2025 ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models ACL 2025 AIGT: AI Generative Table Based on Prompt COLING 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models ICLR 2025 DataMan: Data Manager for Pre-training Large Language Models ICLR 2025 Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information ICCV 2025 Navigate Complex Physical Worlds via Geometrically Constrained LLM EMNLP 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NIPS 2024 A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024 Learning Geometry-Aware Representations for New Intent Discovery ACL 2024 DORY: Deliberative Prompt Recovery for LLM ACL 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024 On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024 Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024 FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents EMNLP 2024 Energy-based Automated Model Evaluation ICLR 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations ICML 2024 CAME: Contrastive Automated Model Evaluation ICCV 2023 iDAG: Invariant DAG Searching for Domain Generalization ICCV 2023 Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models EMNLP 2023 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering ICLR 2023 Revisiting the Knowledge Injection Frameworks EMNLP 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS “Cold-Start” AAAI 2023 Towards Controlled Data Augmentations for Active Learning ICML 2023 Latent Processes Identification From Multi-View Time Series IJCAI 2023 ProMix: Combating Label Noise via Maximizing Clean Sample Utility IJCAI 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation NIPS 2023 Debiased and Denoised Entity Recognition from Distant Supervision NIPS 2023 FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models EMNLP 2023 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NIPS 2022 Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis ACL 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NIPS 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning ICLR 2022 Joining datasets via data augmentation in the label space for neural networks ICML 2021 Levenshtein Transformer NIPS 2019 Adversarially Regularized Autoencoders ICML 2018 Disentangling factors of variation in deep representation using adversarial training NIPS 2016 Character-level Convolutional Networks for Text Classification NIPS 2015