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import streamlit as st
import time
# Initialize slide index in session state if not already set
if "slide_idx" not in st.session_state:
st.session_state.slide_idx = 0
# Define a list of 10 slides (each with left and right pages), built from 40 paper entries.
slides = [
{
"left": """
### 07 Sep 2023 | [Structured Chain-of-Thought Prompting for Code Generation](https://arxiv.org/abs/2305.06599) | [⬇️](https://arxiv.org/pdf/2305.06599)
*Jia Li, Ge Li, Yongmin Li, Zhi Jin*
### 15 Nov 2023 | [Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking](https://arxiv.org/abs/2310.12342) | [⬇️](https://arxiv.org/pdf/2310.12342)
*Yongqi Tong, Yifan Wang, Dawei Li, Sizhe Wang, Zi Lin, Simeng Han, Jingbo Shang*
""",
"right": """
### 04 Jun 2023 | [Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning](https://arxiv.org/abs/2306.02408) | [⬇️](https://arxiv.org/pdf/2306.02408)
*Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen*
### 23 Oct 2023 | [Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks](https://arxiv.org/abs/2211.12588) | [⬇️](https://arxiv.org/pdf/2211.12588)
*Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen*
"""
},
{
"left": """
### 04 Jan 2024 | [Text2MDT: Extracting Medical Decision Trees from Medical Texts](https://arxiv.org/abs/2401.02034) | [⬇️](https://arxiv.org/pdf/2401.02034)
*Wei Zhu, Wenfeng Li, Xing Tian, Pengfei Wang, Xiaoling Wang, Jin Chen, Yuanbin Wu, Yuan Ni, Guotong Xie*
### 21 Dec 2023 | [Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation](https://arxiv.org/abs/2310.03780) | [⬇️](https://arxiv.org/pdf/2310.03780)
*Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
""",
"right": """
### 04 Feb 2024 | [STEVE-1: A Generative Model for Text-to-Behavior in Minecraft](https://arxiv.org/abs/2306.00937) | [⬇️](https://arxiv.org/pdf/2306.00937)
*Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
*Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
"""
},
{
"left": """
### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
*Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
### 10 Nov 2023 | [State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding](https://arxiv.org/abs/2309.12482) | [⬇️](https://arxiv.org/pdf/2309.12482)
*Devleena Das, Sonia Chernova, Been Kim*
""",
"right": """
### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
*Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
*Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
"""
},
{
"left": """
### 16 May 2023 | [RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario](https://arxiv.org/abs/2305.09655) | [⬇️](https://arxiv.org/pdf/2305.09655)
*Sanyam Jain*
### 31 Mar 2023 | [Pair Programming with Large Language Models for Sampling and Estimation of Copulas](https://arxiv.org/abs/2303.18116) | [⬇️](https://arxiv.org/pdf/2303.18116)
*Jan Górecki*
""",
"right": """
### 28 Jun 2023 | [AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn](https://arxiv.org/abs/2306.08640) | [⬇️](https://arxiv.org/pdf/2306.08640)
*Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou*
### 07 Nov 2023 | [Selective Visual Representations Improve Convergence and Generalization for Embodied AI](https://arxiv.org/abs/2311.04193) | [⬇️](https://arxiv.org/pdf/2311.04193)
*Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
"""
},
{
"left": """
### 16 Feb 2023 | [Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media](https://arxiv.org/abs/2302.08575) | [⬇️](https://arxiv.org/pdf/2302.08575)
*Gerhard Paaß and Sven Giesselbach*
### 21 Dec 2023 | [Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation](https://arxiv.org/abs/2310.03780) | [⬇️](https://arxiv.org/pdf/2310.03780)
*Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
""",
"right": """
### 04 Feb 2024 | [STEVE-1: A Generative Model for Text-to-Behavior in Minecraft](https://arxiv.org/abs/2306.00937) | [⬇️](https://arxiv.org/pdf/2306.00937)
*Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
*Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
"""
},
{
"left": """
### 06 Jul 2022 | [Learning Invariant World State Representations with Predictive Coding](https://arxiv.org/abs/2207.02972) | [⬇️](https://arxiv.org/pdf/2207.02972)
*Avi Ziskind, Sujeong Kim, and Giedrius T. Burachas*
### 10 Nov 2023 | [State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding](https://arxiv.org/abs/2309.12482) | [⬇️](https://arxiv.org/pdf/2309.12482)
*Devleena Das, Sonia Chernova, Been Kim*
""",
"right": """
### 17 May 2023 | [LeTI: Learning to Generate from Textual Interactions](https://arxiv.org/abs/2305.10314) | [⬇️](https://arxiv.org/pdf/2305.10314)
*Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji*
### 01 Dec 2022 | [A General Purpose Supervisory Signal for Embodied Agents](https://arxiv.org/abs/2212.01186) | [⬇️](https://arxiv.org/pdf/2212.01186)
*Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi*
"""
},
{
"left": """
### 16 May 2023 | [RAMario: Experimental Approach to Reptile Algorithm -- Reinforcement Learning for Mario](https://arxiv.org/abs/2305.09655) | [⬇️](https://arxiv.org/pdf/2305.09655)
*Sanyam Jain*
### 31 Mar 2023 | [Pair Programming with Large Language Models for Sampling and Estimation of Copulas](https://arxiv.org/abs/2303.18116) | [⬇️](https://arxiv.org/pdf/2303.18116)
*Jan Górecki*
""",
"right": """
### 28 Jun 2023 | [AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn](https://arxiv.org/abs/2306.08640) | [⬇️](https://arxiv.org/pdf/2306.08640)
*Difei Gao, Lei Ji, Luowei Zhou, Kevin Qinghong Lin, Joya Chen, Zihan Fan, Mike Zheng Shou*
### 07 Nov 2023 | [Selective Visual Representations Improve Convergence and Generalization for Embodied AI](https://arxiv.org/abs/2311.04193) | [⬇️](https://arxiv.org/pdf/2311.04193)
*Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan, Ali Farhadi, Ani Kembhavi, Ranjay Krishna*
"""
},
{
"left": """
### 16 Feb 2023 | [Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media](https://arxiv.org/abs/2302.08575) | [⬇️](https://arxiv.org/pdf/2302.08575)
*Gerhard Paaß and Sven Giesselbach*
### 21 Dec 2023 | [Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation](https://arxiv.org/abs/2310.03780) | [⬇️](https://arxiv.org/pdf/2310.03780)
*Tung Phung, Victor-Alexandru Pădurean, Anjali Singh, Christopher Brooks, José Cambronero, Sumit Gulwani, Adish Singla, Gustavo Soares*
""",
"right": """
### 04 Feb 2024 | [STEVE-1: A Generative Model for Text-to-Behavior in Minecraft](https://arxiv.org/abs/2306.00937) | [⬇️](https://arxiv.org/pdf/2306.00937)
*Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith*
### 20 May 2021 | [Data-Efficient Reinforcement Learning with Self-Predictive Representations](https://arxiv.org/abs/2007.05929) | [⬇️](https://arxiv.org/pdf/2007.05929)
*Max Schwarzer, Ankesh Anand, Rishab Goel, R Devon Hjelm, Aaron Courville, Philip Bachman*
"""
}
]
num_slides = len(slides)
current_slide = slides[st.session_state.slide_idx]
# Display slide header (e.g., "Slide 1 of 10")
st.markdown(f"## Slide {st.session_state.slide_idx + 1} of {num_slides}")
# Display left and right pages side by side
col_left, col_right = st.columns(2)
with col_left:
st.markdown("### Left Page")
st.markdown(current_slide["left"], unsafe_allow_html=True)
with col_right:
st.markdown("### Right Page")
st.markdown(current_slide["right"], unsafe_allow_html=True)
# Countdown timer (15 seconds) for auto-advancement
for remaining in range(15, 0, -1):
st.markdown(f"**Advancing in {remaining} seconds...**")
time.sleep(1)
# Advance to the next slide (wrap around at the end)
st.session_state.slide_idx = (st.session_state.slide_idx + 1) % num_slides
# Rerun the app to display the next slide
st.rerun()
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