Jingang Wang

BaseCal: Unsupervised Confidence Calibration via Base Model Signals ACL 2026 From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling AAAI 2026 LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance ACL 2026 LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points ACL 2026 MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks ACL 2026 OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation CVPR 2026 Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective AAAI 2026 Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026 The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis ACL 2026 Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text ACL 2026 AgentRefine: Enhancing Agent Generalization through Refinement Tuning ICLR 2025 Dynamic Fisher-weighted Model Merging via Bayesian Optimization NAACL 2025 Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective ICLR 2025 FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining EMNLP 2025 FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy ACL 2025 IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method EMNLP 2025 Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training ACL 2025 Jailbreak LLMs through Internal Stance Manipulation EMNLP 2025 Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning EMNLP 2025 Multi-Programming Language Sandbox for LLMs ACL 2025 Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data ACL 2025 ReMamba: Equip Mamba with Effective Long-Sequence Modeling EMNLP 2025 Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025 SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity EMNLP 2025 SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models AAAI 2025 Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025 TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025 Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs EMNLP 2025 Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024 C-ICL: Contrastive In-context Learning for Information Extraction EMNLP 2024 CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding AAAI 2024 DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning ACL 2024 EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction EMNLP 2024 Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models EMNLP 2024 Graph-Structured Speculative Decoding ACL 2024 How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024 Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learning EMNLP 2024 MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning AAAI 2024 Minimal Distillation Schedule for Extreme Language Model Compression EACL 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NeurIPS 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism ACL 2024 Task-agnostic Distillation of Encoder-Decoder Language Models COLING 2024 Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation NeurIPS 2024 What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation AAAI 2024 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023 APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models EMNLP 2023 Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery ACL 2023 Fusion or Defusion? Flexible Vision-and-Language Pre-Training ACL 2023 FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue ACL 2023 Improving Input-label Mapping with Demonstration Replay for In-context Learning EMNLP 2023 Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT EMNLP 2023 Lifting the Curse of Capacity Gap in Distilling Language Models ACL 2023 MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction ACL 2023 MUSTIE: Multimodal Structural Transformer for Web Information Extraction ACL 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank ACL 2023 Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023 Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation ACL 2023 CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations COLING 2022 Generalized Intent Discovery: Learning from Open World Dialogue System COLING 2022 GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval EMNLP 2022 Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification ACL 2022 Making Pretrained Language Models Good Long-tailed Learners EMNLP 2022 Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models NeurIPS 2022 Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022 SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction EMNLP 2022 Structural Bias for Aspect Sentiment Triplet Extraction COLING 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 VIRT: Improving Representation-based Text Matching via Virtual Interaction EMNLP 2022 Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery EMNLP 2022 XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022 ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction NAACL 2021 Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval ACL 2021 Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis IJCAI 2019 Alibaba’s Neural Machine Translation Systems for WMT18 EMNLP 2018 LDTM: A Latent Document Type Model for Cumulative Citation Recommendation EMNLP 2015