Juntao Li

When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning ACL 2026 IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking ACL 2026 Crossing the Reward Bridge: Expanding Reinforcement Learning with Verifiable Rewards Across Diverse Domains ACL 2026 CGMIS: Concept-Graph Based Multi-Hop Instructions Synthesis for Enhancing Long-Context Reasoning AAAI 2026 BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs ACL 2026 DUAL RM: Beyond Rule-based Preference Reward Modeling via Meta-Reward ACL 2026 Escaping the Echo Trap: On Credit Assignment Failure in Multi-turn LLM Self-Reflection ACL 2026 DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online News SEMEVAL 2025 Improving Rationality in the Reasoning Process of Language Models through Self-playing Game ICML 2025 LOGO — Long cOntext aliGnment via efficient preference Optimization ICML 2025 Revealing and Mitigating Over-Attention in Knowledge Editing ICLR 2025 Beware of Calibration Data for Pruning Large Language Models ICLR 2025 MMA: Cross-Domain Knowledge Integration via Mixture of Multi-Domain Agents EMNLP 2025 Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification EMNLP 2025 A Survey of Generative Information Extraction COLING 2025 DUTIR at SemEval-2025 Task 10: A Large Language Model-based Approach for Entity Framing in Online News ACL 2025 Tool learning via Inference-time Scaling and Cycle Verifier ACL 2025 L-CiteEval: A Suite for Evaluating Fidelity of Long-context Models ACL 2025 Accurate KV Cache Quantization with Outlier Tokens Tracing ACL 2025 Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch ACL 2025 Generative Reward Modeling via Synthetic Criteria Preference Learning ACL 2025 Unveiling the Potential of BERT-family: A New Recipe for Building Scalable, General and Competitive Large Language Models ACL 2025 𝒜3: Automatic Alignment Framework for Attributed Text Generation ACL 2025 An Empirical Study of Iterative Refinements for Non-autoregressive Translation ACL 2025 Decoder-Only LLMs can be Masked Auto-Encoders ACL 2025 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 From Awareness to Adaptability: Enhancing Tool Utilization for Scientific Reasoning ACL 2025 Unlocking Recursive Thinking of LLMs: Alignment via Refinement ACL 2025 Revealing and Mitigating the Local Pattern Shortcuts of Mamba ACL 2025 LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models ICLR 2024 $\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs NIPS 2024 Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL 2024 Rethinking Negative Instances for Generative Named Entity Recognition ACL 2024 Efficient Domain Adaptation for Non-Autoregressive Machine Translation ACL 2024 Exploring Reversal Mathematical Reasoning Ability for Large Language Models ACL 2024 Demonstration Augmentation for Zero-shot In-context Learning ACL 2024 When and How to Grow? On Efficient Pre-training via Model Growth ACML 2024 Exploring and Mitigating Shortcut Learning for Generative Large Language Models COLING 2024 Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model COLING 2024 CMD: a framework for Context-aware Model self-Detoxification EMNLP 2024 Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization EMNLP 2024 Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering EMNLP 2024 Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024 Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations ICLR 2024 StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis ICML 2024 Open-ended Long Text Generation via Masked Language Modeling ACL 2023 AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NIPS 2023 RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer AAAI 2023 Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference ! ACL 2023 Early Exit with Disentangled Representation and Equiangular Tight Frame ACL 2023 CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection ACL 2023 Dynamic and Efficient Inference for Text Generation via BERT Family ACL 2023 AMOM: Adaptive Masking over Masking for Conditional Masked Language Model AAAI 2023 Towards Better Hierarchical Text Classification with Data Generation ACL 2023 INFORM : Information eNtropy based multi-step reasoning FOR large language Models EMNLP 2023 Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering EMNLP 2023 G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023 Efficient Continue Training of Temporal Language Model with Structural Information EMNLP 2023 Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models EMNLP 2023 Isotropy-Enhanced Conditional Masked Language Models EMNLP 2023 KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model EMNLP 2023 Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change EMNLP 2022 JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation EMNLP 2022 Robust Question Answering against Distribution Shifts with Test-Time Adaption: An Empirical Study EMNLP 2022 Image-text Retrieval: A Survey on Recent Research and Development IJCAI 2022 Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing COLING 2022 SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training COLING 2022 R-Drop: Regularized Dropout for Neural Networks NIPS 2021 Enhancing the Open-Domain Dialogue Evaluation in Latent Space ACL 2021 Enhancing the Open-Domain Dialogue Evaluation in Latent Space IJCNLP 2021 Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study NAACL 2021 Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling AAAI 2021 Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training EMNLP 2020 A Character-Centric Neural Model for Automated Story Generation AAAI 2020 Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model IJCAI 2020 Draft and Edit: Automatic Storytelling Through Multi-Pass Hierarchical Conditional Variational Autoencoder AAAI 2020 Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce AAAI 2020 Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation EMNLP 2019 Learning to Write Stories with Thematic Consistency and Wording Novelty AAAI 2019 Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders IJCNLP 2019 Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation IJCNLP 2019 Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References ACL 2019 Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders EMNLP 2019 Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training EMNLP 2018 Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement IJCAI 2018