NeurIPS 2023 Workshop Instruction Submissions

Releasing the CRaQAn (Coreference Resolution in Question-Answering): An open-source dataset and dataset creation methodology using instruction-following models
Rob Grzywinski, Joshua D'Arcy, Robert Naidoff, Ashish Shukla, Alex Browne, Ren Gibbons, Brinnae Bent
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Training Speech Recognition Models to Follow Instructions
Cheng-I Lai, Zhiyun Lu, Liangliang Cao, Ruoming Pang
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers
Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sagar Sakhinana, Sannidhi Geethan, Venkataramana Runkana
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sagar Sakhinana, Venkataramana Runkana
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction
Erica Cai, Brendan O'Connor
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Investigating the Catastrophic Forgetting in Multimodal Large Language Models
Yuexiang Zhai, Shengbang Tong, Xiao Li, Mu Cai, Qing Qu, Yong Jae Lee, Yi Ma
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Ring Attention with Blockwise Transformers for Near-Infinite Context
Hao Liu, Matei Zaharia, Pieter Abbeel
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Reward Model Ensembles Help Mitigate Overoptimization
Thomas Coste, Usman Anwar, Robert Kirk, David Krueger
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Prometheus: Inducing Evaluation Capability in Language Models
Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Learning to Generate Better Than Your LLM
Jonathan Chang, Kianté Brantley, Rajkumar Ramamurthy, Dipendra Misra, Wen Sun
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Seyed Kamyar Seyed Ghasemipour, Jonathan Tompson, Dale Schuurmans, Pieter Abbeel
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Can LLM-Generated Misinformation Be Detected?
Canyu Chen, Kai Shu
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, yelong shen
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
Chaoqi Wang, Yibo Jiang, Chenghao Yang, Han Liu, Yuxin Chen
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
NLPBench: Evaluating Large Language Models on Solving NLP Problems
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language
Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, SUNGJIN LEE, Yang Liu, Mahdi Namazifar
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone
OctoPack: Instruction Tuning Code Large Language Models
Niklas Muennighoff, Qian Liu, Armel Zebaze, Qinkai Zheng, Binyuan Hui, Terry Yue Zhuo, Swayam Singh, Xiangru Tang, Leandro Von Werra, Shayne Longpre
- Published: 28 Oct 2023, Last Modified: 26 Nov 2023
- Instruction Workshop @ NeurIPS 2023
- Readers: Everyone