LIANHUI Qin

32 papers · 2016–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (65) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌟 Keyword Trendsetter Combo (4) 🔬 Deep Specialist (12) 👥 Mega-Team (24) 🤝 Dynamic Duo (17) 🧬 Topic Evolution 📈 Trend Setter 🔥 Unstoppable (10) 🗃️ Keyword Collector (133) 💎 Century Club (32) ⚡ Prolific Year (7) ❓ The Questioner (2)

Conferences

ACL (11) EMNLP (6) NAACL (5) ICML (3) NIPS (3) IJCNLP (2) COLING (1) CONLL (1)

Top co-authors

Yejin Choi (17) Zhiting Hu (7) Hai Zhao (6) Sean Welleck (6) Ronan Le Bras (5) Zhisong Zhang (5) Peter West (5) Chandra Bhagavatula (5) Ximing Lu (4) Eric Xing (4)

Keywords

text generation (10) language model (7) commonsense reasoning (4) reinforcement learning (3) counterfactual reasoning (3) knowledge graph (3) dialogue system (3) dialogue understanding (2) constrained text generation (2) implicit discourse relation (2) mixture of expert (2) story generation (2) external knowledge (2) constrained generation (2) pre-trained language model (2) narrative understanding (2) machine translation (2) natural language generation (2) contextual reasoning (2) large language model (2)

Papers

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation ACL 2025

Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples ICML 2025

Structured Chemistry Reasoning with Large Language Models ICML 2024

MacGyver: Are Large Language Models Creative Problem Solvers? NAACL 2024

COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability ICML 2024

Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning EMNLP 2023

I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation ACL 2023

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts NAACL 2022

QUARK: Controllable Text Generation with Reinforced Unlearning NIPS 2022

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts ACL 2022

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts NAACL 2022

NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics NAACL 2022

Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations EMNLP 2022

COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics NIPS 2022

TIMEDIAL: Temporal Commonsense Reasoning in Dialog ACL 2021

TIMEDIAL: Temporal Commonsense Reasoning in Dialog IJCNLP 2021

TuringAdvice: A Generative and Dynamic Evaluation of Language Use NAACL 2021

Social Bias Frames: Reasoning about Social and Power Implications of Language ACL 2020

Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning EMNLP 2020

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach EMNLP 2020

Counterfactual Story Reasoning and Generation EMNLP 2019

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading ACL 2019

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation ACL 2019

Counterfactual Story Reasoning and Generation IJCNLP 2019

Deep Generative Models with Learnable Knowledge Constraints NIPS 2018

Automatic Article Commenting: the Task and Dataset ACL 2018

Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation ACL 2018

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification ACL 2017

A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification EMNLP 2016

Shallow Discourse Parsing Using Convolutional Neural Network CONLL 2016

Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings COLING 2016

Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network ACL 2016