← Authors

Ji-Rong Wen

164 papers · 2008–2025 · 16 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (12) 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (17) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (22) 🌍 Conference Polyglot (16) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (40) πŸ‘₯ Mega-Team (25) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (29) 🀝 Dynamic Duo (61) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (57) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (8) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (164)

Conferences

ACL (40) EMNLP (38) COLING (14) NIPS (14) ICLR (12) IJCNLP (10) NAACL (10) AAAI (6) CVPR (6) IJCAI (6) ICML (2) WACV (2) EACL (1) ECCV (1) ICCV (1) JMLR (1)

Top co-authors

Wayne Xin Zhao (61) Kun Zhou (30) Xin Zhao (27) Junyi Li (26) Tianyi Tang (19) Zhicheng Dou (17) Jinhao Jiang (14) Rui Yan (13) Jun Xu (12) Yutao Zhu (11)

Research topics

Architectures (1) Science (1)

Keywords

large language model (42) pre-trained language model (13) retrieval-augmented generation (12) information retrieval (11) pretrained language model (11) domain adaptation (9) question answering (9) text generation (9) language model (8) transfer learning (8) model compression (8) multimodal learning (7) reinforcement learning (6) graph neural network (6) neural network (5) in-context learning (5) tensor decomposition (5) contrastive learning (4) diffusion model (4) mathematical reasoning (4)

Papers

Distilling Rule-based Knowledge into Large Language Models COLING 2025
GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation NAACL 2025
Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization EMNLP 2025
OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain EMNLP 2025
Enhancing LLM Text Detection with Retrieved Contexts and Logits Distribution Consistency EMNLP 2025
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework EMNLP 2025
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models EMNLP 2025
Mix-CPT: A Domain Adaptation Framework via Decoupling Knowledge Learning and Format Alignment ICLR 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models AAAI 2025
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds NAACL 2025
RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation ACL 2025
Progressive Multimodal Reasoning via Active Retrieval ACL 2025
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025
Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph ACL 2025
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking ACL 2025
Neuro-Symbolic Query Compiler ACL 2025
Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization ICLR 2025
Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning ICLR 2025
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025
Improving Retrospective Language Agents via Joint Policy Gradient Optimization NAACL 2025
ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models EMNLP 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation ICML 2025
Toward Verifiable Instruction-Following Alignment for Retrieval Augmented Generation AAAI 2025
Regulatory DNA Sequence Design with Reinforcement Learning ICLR 2025
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents ICLR 2025
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback ICLR 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025
Uniform Attention Maps: Boosting Image Fidelity in Reconstruction and Editing WACV 2025
MMATH: A Multilingual Benchmark for Mathematical Reasoning EMNLP 2025
Smart-Searcher: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement Learning EMNLP 2025
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory Synthesis EMNLP 2025
Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment ICCV 2025
Neuron based Personality Trait Induction in Large Language Models ICLR 2025
Exploring the Design Space of Visual Context Representation in Video MLLMs ICLR 2025
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions ICLR 2025
ICLEval: Evaluating In-Context Learning Ability of Large Language Models COLING 2025
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning COLING 2025
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation COLING 2025
LLMBox: A Comprehensive Library for Large Language Models ACL 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024
An Analysis and Mitigation of the Reversal Curse EMNLP 2024
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector EMNLP 2024
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment EMNLP 2024
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents EMNLP 2024
Large Language Model-based Human-Agent Collaboration for Complex Task Solving EMNLP 2024
Learning Dynamic Multi-attribute Interest for Personalized Product Search EMNLP 2024
AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models EMNLP 2024
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training ICML 2024
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression ACL 2024
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning ACL 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs ACL 2024
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models ACL 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy ACL 2024
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models ACL 2024
Can Large Language Models Mine Interpretable Financial Factors More Effectively? A Neural-Symbolic Factor Mining Agent Model ACL 2024
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint ACL 2024
Cocktail: A Comprehensive Information Retrieval Benchmark with LLM-Generated Documents Integration ACL 2024
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models NIPS 2024
Exploring Context Window of Large Language Models via Decomposed Positional Vectors NIPS 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models COLING 2024
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting COLING 2024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024
Enhancing Parameter-efficient Fine-tuning with Simple Calibration Based on Stable Rank COLING 2024
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses NIPS 2024
Reflective Multi-Agent Collaboration based on Large Language Models NIPS 2024
Dynamic Prompt Optimizing for Text-to-Image Generation CVPR 2024
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation EACL 2024
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models ECCV 2024
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment ICLR 2024
Your Career Path Matters in Person-Job Fit AAAI 2024
TOME: A Two-stage Approach for Model-based Retrieval ACL 2023
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models EMNLP 2023
Enhancing Scalability of Pre-trained Language Models via Efficient Parameter Sharing EMNLP 2023
Evaluating Object Hallucination in Large Vision-Language Models EMNLP 2023
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph EMNLP 2023
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models EMNLP 2023
StructGPT: A General Framework for Large Language Model to Reason over Structured Data EMNLP 2023
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph ICLR 2023
Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback EMNLP 2023
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization ACL 2023
Reward Imputation with Sketching for Contextual Batched Bandits NIPS 2023
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning NIPS 2023
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NIPS 2023
Diffusion Models for Non-autoregressive Text Generation: A Survey IJCAI 2023
A Thorough Examination on Zero-shot Dense Retrieval EMNLP 2023
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models EMNLP 2023
SSP: Self-Supervised Post-training for Conversational Search ACL 2023
Zero-shot Visual Question Answering with Language Model Feedback ACL 2023
MVP: Multi-task Supervised Pre-training for Natural Language Generation ACL 2023
The Web Can Be Your Oyster for Improving Language Models ACL 2023
Visually-augmented pretrained language models for NLP tasks without images ACL 2023
Learning to Imagine: Visually-Augmented Natural Language Generation ACL 2023
Semantic Sentence Matching via Interacting Syntax Graphs COLING 2022
Log-Polar Space Convolution Layers NIPS 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited NIPS 2022
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records NIPS 2022
MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation ACL 2022
There Are a Thousand Hamlets in a Thousand People’s Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory ACL 2022
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network ACL 2022
Debiased Contrastive Learning of Unsupervised Sentence Representations ACL 2022
Finding the Dominant Winning Ticket in Pre-Trained Language Models ACL 2022
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching COLING 2022
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models COLING 2022
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation COLING 2022
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval CVPR 2022
Learning To Answer Questions in Dynamic Audio-Visual Scenarios CVPR 2022
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation EMNLP 2022
TextBox 2.0: A Text Generation Library with Pre-trained Language Models EMNLP 2022
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022
A Multi-Modal Knowledge Graph for Classical Chinese Poetry EMNLP 2022
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification ICLR 2022
Learning to Transfer Prompts for Text Generation NAACL 2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation NAACL 2022
Great~Truths~are ~Always ~Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models NAACL 2022
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation IJCNLP 2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models IJCNLP 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval IJCNLP 2021
Domain-Adaptive Few-Shot Learning WACV 2021
Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech IJCNLP 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations IJCNLP 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators IJCNLP 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System IJCNLP 2021
Compressed Video Contrastive Learning NIPS 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval ACL 2021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models ACL 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation ACL 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking EMNLP 2021
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech ACL 2021
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions IJCAI 2021
Pretrained Language Model for Text Generation: A Survey IJCAI 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations ACL 2021
Regret Bounds for Online Kernel Selection in Continuous Kernel Space AAAI 2021
Leveraging Multi-Token Entities in Document-Level Named Entity Recognition AAAI 2020
Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains EMNLP 2020
Towards Topic-Guided Conversational Recommender System COLING 2020
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields EMNLP 2020
A Neural Citation Count Prediction Model based on Peer Review Text EMNLP 2019
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network EMNLP 2019
Face-Focused Cross-Stream Network for Deception Detection in Videos CVPR 2019
Recursive Visual Attention in Visual Dialog CVPR 2019
Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network IJCNLP 2019
A Neural Citation Count Prediction Model based on Peer Review Text IJCNLP 2019
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding ACL 2019
Domain-Invariant Projection Learning for Zero-Shot Recognition NIPS 2018
Weakly Supervised Matrix Factorization for Noisily Tagged Image Parsing IJCAI 2015
Query Understanding through Knowledge-Based Conceptualization IJCAI 2015
Social Image Parsing by Cross-Modal Data Refinement IJCAI 2015
Improving Web Search Ranking by Incorporating Structured Annotation of Queries EMNLP 2013
Corpus-based Semantic Class Mining: Distributional vs. Pattern-Based Approaches COLING 2010
Employing Topic Models for Pattern-based Semantic Class Discovery IJCNLP 2009
Employing Topic Models for Pattern-based Semantic Class Discovery ACL 2009
Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction JMLR 2008