Learning to (Learn at Test Time): RNNs with Expressive Hidden States (AI summary)
Yu Sun, Xinhao Li, Karan Dalal, Jiarui Xu, Arjun Vikram, Genghan Zhang, Yann Dubois, Xinlei Chen, Xiaolong Wang, Sanmi Koyejo, Tatsunori Hashimoto, Carlos Guestrin
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Prover-Verifier Games improve legibility of LLM outputs (AI summary)
Jan Hendrik Kirchner, Yining Chen, Harri Edwards, Jan Leike, Nat McAleese, Yuri Burda
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Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence (AI summary)
Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
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A Survey on Mixture of Experts (AI summary)
Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang
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RouteLLM: Learning to Route LLMs with Preference Data (AI summary)
Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M Waleed Kadous, Ion Stoica
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Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps (AI summary)
Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James Glass
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Reasoning in Large Language Models: A Geometric Perspective (AI summary)
Romain Cosentino, Sarath Shekkizhar
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Mixture of A Million Experts (AI summary)
Xu Owen He
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RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs (AI summary)
Yue Yu, Wei Ping, Zihan Liu, Boxin Wang, Jiaxuan You, Chao Zhang, Mohammad Shoeybi, Bryan Catanzaro
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AI Agents That Matter (AI summary)
Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, Nitya Nadgir, Arvind Narayanan
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