Pengjie Ren
44 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (9)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Academic Marathon
(9)
π
Keyword Trendsetter Combo
(4)
π€
Dynamic Duo
(31)
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Keyword Champion
(2)
β
The Questioner
π
Century Club
(43)
ποΈ
Keyword Collector
(201)
π₯
Unstoppable
(7)
π
Conference Pioneer
β‘
Prolific Year
(10)
Conferences
ACL (13)
EMNLP (13)
AAAI (8)
COLING (4)
ICLR (2)
IJCNLP (2)
EACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(15)
information retrieval
(6)
dialogue system
(6)
contrastive learning
(3)
dialogue evaluation
(3)
self-supervised learning
(3)
tool learning
(3)
language model
(3)
malevolence detection
(3)
transfer learning
(3)
knowledge distillation
(2)
attention mechanism
(2)
natural language understanding
(2)
knowledge graph
(2)
response generation
(2)
text summarization
(2)
reinforcement learning
(2)
knowledge editing
(2)
dialogue generation
(2)
document retrieval
(2)
Papers
Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
ACL 2026
Retrieval Models Arenβt Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
ACL 2025
SLARD: A Chinese Superior Legal Article Retrieval Dataset
COLING 2025
Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies
COLING 2025
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
ICLR 2025
ExcluIR: Exclusionary Neural Information Retrieval
AAAI 2025
KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing
EMNLP 2025
Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
EMNLP 2025
Trustworthy Medical Question Answering: An Evaluation-Centric Survey
EMNLP 2025
Uncovering Overfitting in Large Language Model Editing
ICLR 2025
UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
EMNLP 2025
Knowledge Graph Enhanced Large Language Model Editing
EMNLP 2024
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
ACL 2024
Self-Supervised Position Debiasing for Large Language Models
ACL 2024
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality
ACL 2024
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
EMNLP 2024
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
AAAI 2024
Learning to Use Tools via Cooperative and Interactive Agents
EMNLP 2024
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
ACL 2024
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
ACL 2024
Syllogistic Reasoning for Legal Judgment Analysis
EMNLP 2023
Feature-Level Debiased Natural Language Understanding
AAAI 2023
Contrastive Learning Reduces Hallucination in Conversations
AAAI 2023
Answering Ambiguous Questions via Iterative Prompting
ACL 2023
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
ACL 2023
UMSE: Unified Multi-scenario Summarization Evaluation
ACL 2023
Generative Knowledge Selection for Knowledge-Grounded Dialogues
EACL 2023
Learning to Tokenize for Generative Retrieval
NIPS 2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents
EMNLP 2023
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
EMNLP 2023
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
EMNLP 2023
Towards a Unified Framework for Reference Retrieval and Related Work Generation
EMNLP 2023
Knowledge Bridging for Empathetic Dialogue Generation
AAAI 2022
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement
ACL 2022
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
ACL 2021
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
ACL 2021
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
IJCNLP 2021
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
IJCNLP 2021
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation
COLING 2020
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation
AAAI 2020
RefNet: A Reference-Aware Network for Background Based Conversation
AAAI 2020
RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation
AAAI 2019
Entity Linking for Queries by Searching Wikipedia Sentences
EMNLP 2017
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization
COLING 2016