Jingang Wang

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