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 {"tstamp": 1722988262.7628, "task_type": "retrieval", "type": "chat", "model": "BM25", "gen_params": {}, "start": 1722988260.6351, "finish": 1722988262.7628, "ip": "", "conv_id": "a3abd751899c4152be8acdb378b437a0", "model_name": "BM25", "prompt": "Research on aspect-based sentiment analysis that incorporates syntax structure through graph-based neural networks.", "output": [["Research on aspect-based sentiment analysis that incorporates syntax structure through graph-based neural networks.", "Title: BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis\n\nAbstract: Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity inference. It is challenging because a sentence may contain multiple aspects or complicated (e.g., conditional, coordinating, or adversative) relations. Recently, exploiting dependency syntax information with graph neural networks has been the most popular trend. Despite its success, methods that heavily rely on the dependency tree pose challenges in accurately modeling the alignment of the aspects and their words indicative of sentiment, since the dependency tree may provide noisy signals of unrelated associations (e.g., the \"conj\" relation between \"great\" and \"dreadful\" in Figure 2). In this paper, to alleviate this problem, we propose a Bi-Syntax aware Graph Attention Network (BiSyn-GAT+). Specifically, BiSyn-GAT+ fully exploits the syntax information (e.g., phrase segmentation and hierarchical structure) of the constituent tree of a sentence to model the sentiment-aware context of every single aspect (called intra-context) and the sentiment relations across aspects (called inter-context) for learning. Experiments on four benchmark datasets demonstrate that BiSyn-GAT+ outperforms the state-of-the-art methods consistently."]], "corpus": "arxiv"}
 {"tstamp": 1722998073.0406, "task_type": "retrieval", "type": "chat", "model": "Alibaba-NLP/gte-Qwen2-7B-instruct", "gen_params": {}, "start": 1722998070.6642, "finish": 1722998073.0406, "ip": "", "conv_id": "14225fa3315a4aa3a185f8a1b579ba78", "model_name": "Alibaba-NLP/gte-Qwen2-7B-instruct", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
 {"tstamp": 1722998073.0406, "task_type": "retrieval", "type": "chat", "model": "text-embedding-004", "gen_params": {}, "start": 1722998070.6642, "finish": 1722998073.0406, "ip": "", "conv_id": "adf2661568444b888e1c60db668744b3", "model_name": "text-embedding-004", "prompt": "Which test was devised to determine whether robots can think?", "output": [["Which test was devised to determine whether robots can think?", "Turing test\n\nThe Turing test, originally called the imitation game by Alan Turing in 1950, is a test of a machine's ability to exhibit intelligent behaviour equivalent to, or indistinguishable from, that of a human. Turing proposed that a human evaluator would judge natural language conversations between a human and a machine designed to generate human-like responses. The evaluator would be aware that one of the two partners in conversation was a machine, and all participants would be separated from one another. The conversation would be limited to a text-only channel, such as a computer keyboard and screen, so the result would not depend on the machine's ability to render words as speech. If the evaluator could not reliably tell the machine from the human, the machine would be said to have passed the test. The test results would not depend on the machine's ability to give correct answers to questions, only on how closely its answers resembled those a human would give. Since the Turing test is a test of indistinguishability in performance capacity, the verbal version generalizes naturally to all of human performance capacity, verbal as well as nonverbal (robotic)."]], "corpus": "wikipedia"}
+{"tstamp": 1722999098.0787, "task_type": "retrieval", "type": "chat", "model": "intfloat/multilingual-e5-large-instruct", "gen_params": {}, "start": 1722999095.8443, "finish": 1722999098.0787, "ip": "", "conv_id": "e30eb19fde274ad79d516e1cba7e17ca", "model_name": "intfloat/multilingual-e5-large-instruct", "prompt": "what is the magnitude and direction of acceleration?", "output": [["what is the magnitude and direction of acceleration?", "Kinematics\n\nThus, a particle's velocity is the time rate of change of its position. Furthermore, this velocity is tangent to the particle's trajectory at every position along its path. In a non-rotating frame of reference, the derivatives of the coordinate directions are not considered as their directions and magnitudes are constants.\nThe speed of an object is the magnitude of its velocity. It is a scalar quantity:\nwhere  is the arc-length measured along the trajectory of the particle. This arc-length must always increase as the particle moves. Hence,  is non-negative, which implies that speed is also non-negative.\nAcceleration\nThe velocity vector can change in magnitude and in direction or both at once. Hence, the acceleration accounts for both the rate of change of the magnitude of the velocity vector and the rate of change of direction of that vector. The same reasoning used with respect to the position of a particle to define velocity, can be applied to the velocity to define acceleration. The acceleration of a particle is the vector defined by the rate of change of the velocity vector. The average acceleration of a particle over a time interval is defined as the ratio.\nwhere Δv is the average velocity and Δt is the time interval.\nThe acceleration of the particle is the limit of the average acceleration as the time interval approaches zero, which is the time derivative,"]], "corpus": "wikipedia"}
+{"tstamp": 1722999098.0787, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722999095.8443, "finish": 1722999098.0787, "ip": "", "conv_id": "a145bc97fe314ce0b9c4d2b83f8377f2", "model_name": "GritLM/GritLM-7B", "prompt": "what is the magnitude and direction of acceleration?", "output": [["what is the magnitude and direction of acceleration?", "Acceleration\n\nIn mechanics, acceleration is the rate of change of the velocity of an object with respect to time. Acceleration is one of several components of kinematics, the study of motion. Accelerations are vector quantities (in that they have magnitude and direction). The orientation of an object's acceleration is given by the orientation of the net force acting on that object. The magnitude of an object's acceleration, as described by Newton's Second Law, is the combined effect of two causes:\nthe net balance of all external forces acting onto that object — magnitude is directly proportional to this net resulting force;\nthat object's mass, depending on the materials out of which it is made — magnitude is inversely proportional to the object's mass.\nThe SI unit for acceleration is metre per second squared (, )."]], "corpus": "wikipedia"}