TIER: Trajectory-Invariant Execution Rewards for Multi-Step Tool Composition
Anay Kulkarni · Allen Lu · Dheeraj Mekala · Jayanth Srinivasa · Gaowen Liu · Jingbo Shang
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Anay Kulkarni · Allen Lu · Dheeraj Mekala · Jayanth Srinivasa · Gaowen Liu · Jingbo Shang
Sophia Xiao Pu · Zhaotian Weng · Chengzhi Liu · Jayanth Srinivasa · Gaowen Liu · William Yang Wang · Xin Wang
Arash Akbari · Arman Akbari · Masih Eskandar · Qitao Tan · Yixiao Chen · Jingwu Luo · Bertha Pangaribuan · Liyun Zhang · Jennifer Dy · Geng Yuan · Xue Lin · Gaowen Liu · Stratis Ioannidis · Yanzhi Wang
Yuwei Zhang · Wenhao Yu · Shangbin Feng · Yifan Zhu · Letian Peng · Jayanth Srinivasa · Gaowen Liu · Jingbo Shang
Despite significant advances in large language models (LLMs), their knowledge memorization capabilities remain underexplored, due to the lack of standardized and high-quality testing grounds. In this paper, we introduce a novel, real-world and large-scale knowledge injection benchmark that contin...
Amir Saeidi · Venkatesh Mishra · Souradeep Mukhopadhyay · Gaowen Liu · Ali Payani · Jayanth Srinivasa · Chitta Baral
Large Language Models are being increasingly deployed as the decision-making core of autonomous agents capable of effecting change in external environments. Yet, in conversational benchmarks, which simulate real-world customer-centric issue resolution scenarios, these agents frequently fail due t...