← Authors

Bill Yuchen Lin

64 papers · 2018–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (8) 🏠 Conference Loyalist (20) πŸ† Grand Slam πŸ† Keyword Champion (3) πŸ‘₯ Mega-Team (32) πŸ”¬ Deep Specialist (19) 🧬 Topic Evolution 🀝 Dynamic Duo (31) πŸ’Ž Century Club (64) πŸ”₯ Unstoppable (8) ❓ The Questioner ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (260)

Conferences

ACL (20) EMNLP (14) NAACL (10) NIPS (5) ICLR (4) IJCNLP (4) AAAI (3) AACL (1) CVPR (1) EACL (1) ICML (1)

Top co-authors

Xiang Ren (31) Yejin Choi (15) Radha Poovendran (7) Dong-Ho Lee (7) Khyathi Chandu (6) Luyao Niu (6) Zhangchen Xu (6) Fengqing Jiang (6) Seyeon Lee (5) Nouha Dziri (5)

Keywords

large language model (16) commonsense reasoning (10) named entity recognition (7) language model (7) benchmark evaluation (5) pre-trained language model (5) knowledge distillation (4) knowledge graph (4) transfer learning (3) few-shot learning (3) contrastive learning (3) chain-of-thought reasoning (3) sequence labeling (3) vision-language model (3) commonsense knowledge (3) continual learning (2) unsupervised learning (2) text generation (2) question answering (2) relation extraction (2)

Papers

Latent Action Pretraining from Videos ICLR 2025
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models CVPR 2025
Small Models Struggle to Learn from Strong Reasoners ACL 2025
SimulBench: Evaluating Language Models with Creative Simulation Tasks NAACL 2025
WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild ICLR 2025
ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates AAAI 2025
On Memorization of Large Language Models in Logical Reasoning AACL 2025
RewardBench: Evaluating Reward Models for Language Modeling NAACL 2025
CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs’ Cultural Knowledge Through Human-AI Red-Teaming ACL 2025
SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities ACL 2025
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects NAACL 2025
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models NAACL 2025
Stronger Models are Not Always Stronger Teachers for Instruction Tuning NAACL 2025
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism NAACL 2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models NAACL 2025
On Memorization of Large Language Models in Logical Reasoning IJCNLP 2025
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning ICML 2025
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing ICLR 2025
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning ICLR 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation EMNLP 2024
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs NIPS 2024
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences NIPS 2024
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding ACL 2024
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents ACL 2024
Agent Lumos: Unified and Modular Training for Open-Source Language Agents ACL 2024
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement ACL 2024
Selective β€œSelective Prediction”: Reducing Unnecessary Abstention in Vision-Language Reasoning ACL 2024
Complex Reasoning in Natural Language ACL 2023
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion ACL 2023
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction EACL 2023
Faith and Fate: Limits of Transformers on Compositionality NIPS 2023
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks NIPS 2023
On Grounded Planning for Embodied Tasks with Language Models AAAI 2023
Unsupervised Cross-Task Generalization via Retrieval Augmentation NIPS 2022
On Continual Model Refinement in Out-of-Distribution Data Streams ACL 2022
Knowledge-Augmented Methods for Natural Language Processing ACL 2022
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality EMNLP 2022
On the Robustness of Reading Comprehension Models to Entity Renaming NAACL 2022
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms EMNLP 2021
Probing Commonsense Explanation in Dialogue Response Generation EMNLP 2021
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge ACL 2021
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning IJCNLP 2021
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge IJCNLP 2021
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning ACL 2021
Differentiable Open-Ended Commonsense Reasoning NAACL 2021
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization AAAI 2021
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models EMNLP 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP EMNLP 2021
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models EMNLP 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ACL 2020
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling ACL 2020
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering EMNLP 2020
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning EMNLP 2020
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning IJCNLP 2019
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning EMNLP 2019
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging ACL 2019
ExtRA: Extracting Prominent Review Aspects from Customer Feedback EMNLP 2018
Neural Adaptation Layers for Cross-domain Named Entity Recognition EMNLP 2018
Automatic Extraction of Commonsense LocatedNear Knowledge ACL 2018
Mining Cross-Cultural Differences and Similarities in Social Media ACL 2018