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Expand Up @@ -503,12 +503,31 @@ <h3>Oral & Poster Papers</h3>


<tr class="row100">
<td valign="middle" style="font-weight: bold;">Poster session 1&nbsp;&nbsp;</td>
<td valign="middle" style="font-weight: bold;">Poster Session 1&nbsp;&nbsp;</td>
<td class="column100" data-column="column1">
<p style="text-align:left; font-size:small">
[1] Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan. <i>On the Risk of Misinformation Pollution with Large Language Models</i> (<b>Board: <a style="color: red;">P101</a></b>)<BR/>

<!-- [2] Fengzhu Zeng, Wei Gao. <i>Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models</i> (<b>Board: <a style="color: red;">P102</a></b>)<BR/>-->
[1] Hai Ye, Hwee Tou Ng. <i>Preference-Guided Reflective Sampling for Aligning Language Models.</i> (<b>Board: <a style='color: red;'>1</a></b>)<BR/>
[2] Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen. <i>Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models</i> (<b>Board: <a style='color: red;'>2</a></b>)<BR/>
[3] Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell. <i>A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors</i> (<b>Board: <a style='color: red;'>3</a></b>)<BR/>
[4] Esther Gan*, Yiran Zhao*, Liying Cheng, Mao Yancan, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh. <i>Reasoning Robustness of LLMs to Adversarial Typographical Errors</i> (<b>Board: <a style='color: red;'>4</a></b>)<BR/>
[5] Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh. <i>Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models</i> (<b>Board: <a style='color: red;'>5</a></b>)<BR/>
[6] Thong Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu. <i>Encoding and Controlling Global Semantics for Long-form Video Question Answering</i> (<b>Board: <a style='color: red;'>6</a></b>)<BR/>
[7] Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan Sheng Foo, Bryan Kian Hsiang Low. <i>Waterfall: Framework for Robust and Scalable Text Watermarking</i> (<b>Board: <a style='color: red;'>7</a></b>)<BR/>
[8] Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee. <i>ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations</i> (<b>Board: <a style='color: red;'>8</a></b>)<BR/>
[9] Miaoyu Li, Haoxin Li, Zilin Du, Boyang Li. <i>Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA</i> (<b>Board: <a style='color: red;'>9</a></b>)<BR/>
[10] Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua. <i>Ask-before-Plan: Proactive Language Agents for Real-World Planning</i> (<b>Board: <a style='color: red;'>10</a></b>)<BR/>
[11] Muhammad Reza Qorib, Alham Fikri Aji, Hwee Tou Ng. <i>Efficient and Interpretable Grammatical Error Correction with Mixture of Experts</i> (<b>Board: <a style='color: red;'>11</a></b>)<BR/>
[12] Fengzhu Zeng, Wenqian Li, Wei Gao, Yan Pang. <i>Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs</i> (<b>Board: <a style='color: red;'>12</a></b>)<BR/>
[13] Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan. <i>LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement</i> (<b>Board: <a style='color: red;'>13</a></b>)<BR/>
[14] Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low. <i>Position Paper: Data-Centric AI in the Age of Large Language Models</i> (<b>Board: <a style='color: red;'>14</a></b>)<BR/>
[15] Ming Shan Hee, Shivam Sharma, RUI CAO, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee. <i>Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models</i> (<b>Board: <a style='color: red;'>15</a></b>)<BR/>
[16] Xu Guo, Zilin Du, Boyang Li, Chunyan Miao. <i>Generating Synthetic Datasets for Few-shot Prompt Tuning</i> (<b>Board: <a style='color: red;'>16</a></b>)<BR/>
[17] Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan. <i>Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning</i> (<b>Board: <a style='color: red;'>17</a></b>)<BR/>
[18] Yujia Hu, Zhiqiang Hu, Chun Wei Seah, Roy Ka-Wei Lee. <i>InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification</i> (<b>Board: <a style='color: red;'>18</a></b>)<BR/>
[19] Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen. <i>Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems</i> (<b>Board: <a style='color: red;'>19</a></b>)<BR/>
[20] Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua. <i>Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection</i> (<b>Board: <a style='color: red;'>20</a></b>)<BR/>

<!-- [2] Fengzhu Zeng, Wei Gao. <i>Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models</i> (<b>Board: <a style="color: red;">P102</a></b>)<BR/> -->

<!-- [3] Shuo Sun, Yuchen Zhang, Jiahuan Yan, Yuze GAO, Donovan Ong, Bin Chen, Jian Su. <i>Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT - A Text-to-SQL Parsing Comparison</i> (<b>Board: <a style="color: red;">P105</a></b>)<BR/>-->

Expand Down Expand Up @@ -538,10 +557,34 @@ <h3>Oral & Poster Papers</h3>


<tr class="row100">
<td valign="middle" style="font-weight: bold;">Poster session 2&nbsp;&nbsp;</td>
<td valign="middle" style="font-weight: bold;">Poster Session 2&nbsp;&nbsp;</td>
<td class="column100" data-column="column1">
<p style="text-align:left; font-size:small">
[1] Xuan Long Do, Bowei Zou, Shafiq Joty, Anh Tai Tran, Liangming Pan, Nancy F. Chen, Ai Ti Aw. <i>Modeling What-to-ask and How-to-ask for Answer unaware Conversational Question Generation</i> (<b>Board: <a style="color: red;">P201</a></b>)<BR/>
[1] Suzanna Sia, David Mueller, Kevin Duh. <i>Where does In context learning happen in LLMs</i> (<b>Board: <a style='color: red;'>1</a></b>)<BR/>
[2] Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan. <i>VITRON: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing</i> (<b>Board: <a style='color: red;'>2</a></b>)<BR/>
[3] Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low. <i>DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning</i> (<b>Board: <a style='color: red;'>3</a></b>)<BR/>
[4] Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low. <i>Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars</i> (<b>Board: <a style='color: red;'>4</a></b>)<BR/>
[5] Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low. <i>Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization</i> (<b>Board: <a style='color: red;'>5</a></b>)<BR/>
[6] Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng. <i>Mercury: A Code Efficiency Benchmark for Code Large Language Models</i> (<b>Board: <a style='color: red;'>6</a></b>)<BR/>
[7] Bhardwaj, Rishabh, Do Duc Anh, Soujanya Poria. <i>Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic</i> (<b>Board: <a style='color: red;'>7</a></b>)<BR/>
[8] Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang. <i>Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models</i> (<b>Board: <a style='color: red;'>8</a></b>)<BR/>
[9] Fengzhu Zeng, Wei Gao. <i>JustiLM: Few-Shot Justification Generation for Explainable Fact-Checking of Real-world Claims</i> (<b>Board: <a style='color: red;'>9</a></b>)<BR/>
[10] Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, Aixin Sun. <i>Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution</i> (<b>Board: <a style='color: red;'>10</a></b>)<BR/>
[11] Jiahao Ying, Yixin Cao, Kai Xiong, Yidong He, Long Cui, Yongbin Liu. <i>Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts</i> (<b>Board: <a style='color: red;'>11</a></b>)<BR/>
[12] Do Xuan Long*, Yiran Zhao*, Hannah Brown*, Yuxi Xie, James Zhao, Nancy Chen, Kenji Kawaguchi, Michael Shieh, Junxian He. <i>Prompt Optimization via Adversarial In-Context Learning</i> (<b>Board: <a style='color: red;'>12</a></b>)<BR/>
[13] Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu. <i>Faithful Logical Reasoning via Symbolic Chain-of-Thought</i> (<b>Board: <a style='color: red;'>13</a></b>)<BR/>
[14] Cunxiao Du et al.. <i>GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding</i> (<b>Board: <a style='color: red;'>14</a></b>)<BR/>
[15] Xiangming Gu*, Xiaosen Zheng*, Tianyu Pang*, Chao Du, Qian Liu, Ye Wang, Jing Jiang, Min Lin. <i>Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast</i> (<b>Board: <a style='color: red;'>15</a></b>)<BR/>
[16] Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua. <i>NExT-GPT: Any-to-Any Multimodal LLM</i> (<b>Board: <a style='color: red;'>16</a></b>)<BR/>
[17] Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Meishan Zhang, Mong-Li Lee, Wynne Hsu. <i>Video-of-thought: Step-by-step video reasoning from perception to cognition</i> (<b>Board: <a style='color: red;'>17</a></b>)<BR/>
[18] Suzanna Sia, Alexandra Delucia, Kevin Duh. <i>Anti-Lm Decoding for zeroshot in context MT</i> (<b>Board: <a style='color: red;'>18</a></b>)<BR/>
[19] Anthony Tiong, Junqi Zhao, et al.. <i>What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases</i> (<b>Board: <a style='color: red;'>19</a></b>)<BR/>
[20] Yidan Sun, Qin Chao, Boyang Li. <i>Event Causality Is Key to Computational Story Understanding</i> (<b>Board: <a style='color: red;'>20</a></b>)<BR/>
[21] Brian Formento, Wenjie Feng, Chuan Sheng Foo, Luu Anh Tuan, See-Kiong Ng. <i>SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks</i> (<b>Board: <a style='color: red;'>21</a></b>)<BR/>
[22] Fu Jinlan, Ng See-Kiong, Jiang Zhengbao, Liu Pengfei. <i>GPTScore: Evaluate as You Desire</i> (<b>Board: <a style='color: red;'>22</a></b>)<BR/>
[23] Meng Luo, Hao Fei, Bobo Li, Shengqiong Wu, Qian Liu, Soujanya Poria, Erik Cambria, Mong-Li Lee, Wynne Hsu. <i>PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis</i> (<b>Board: <a style='color: red;'>23</a></b>)<BR/>
[24] Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun. <i>MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations</i> (<b>Board: <a style='color: red;'>24</a></b>)<BR/>
[25] Yajing Yang, Qian Liu, Min-Yen Kan. <i>DataTales: A Benchmark for Real-World Intelligent Data Narration</i> (<b>Board: <a style='color: red;'>25</a></b>)<BR/>

<!-- [2] Rui Cao, Jing Jiang. <i>Modularized Zero-shot VQA with Pre-trained Models</i> (<b>Board: <a style="color: red;">P202</a></b>)<BR/>-->

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