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 {"tstamp": 1722445894.206, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722445891.9819, "finish": 1722445894.206, "ip": "", "conv_id": "a78fca47acfe43b9a74361b3c222464e", "model_name": "GritLM/GritLM-7B", "prompt": "one flew over the cuckoo's nest why did chief pretend to be deaf?", "output": [["one flew over the cuckoo's nest why did chief pretend to be deaf?", "Scifi Stackexchange\n\nQ: Why did V need the police chief? In the film V for Vendetta, the following conversation takes place:\n\nFinch: Rookwood. Why didn't you come forward before? What were you waiting for?\nV: For you, Inspector. I needed you.\n\nI have tried to come up with a reason why V needed him, and have concluded that V didn't need him. Rather the author needed him (the police chief) to provide another perspective on the plot: a plot device.\nIs that reasonable?\n\nA: V talked of liberating people by giving them the truth. What better way or what more symbolic way to do that than to help the police inspector find the truth? And also, I think V hoped that the police inspector would be inspired to make the world a more just place if he knew the whole truth. V knew the world would go on once he died and someone needed to take his place in ensuring justice is served. That would be Evey with the help of the police inspector. \n"]], "corpus": "stackexchange"}
 {"tstamp": 1722445941.847, "task_type": "retrieval", "type": "chat", "model": "nomic-ai/nomic-embed-text-v1.5", "gen_params": {}, "start": 1722445941.6259, "finish": 1722445941.847, "ip": "", "conv_id": "8d4a23f996e843a29567c43a3eec5b23", "model_name": "nomic-ai/nomic-embed-text-v1.5", "prompt": "who was the original host of what's my line", "output": [["who was the original host of what's my line", "What's My Line?\n\nStarting in July 1959 and continuing until July 1967, the show would occasionally record episodes onto quadruplex videotape for playback at a future date. In July 1959, this was state-of-the-art technology. At that time, the immediate concern of Mark Goodson and Bill Todman was that John Daly, anchor of the ABC network's nightly newscasts, would be allowed to visit Moscow to cover, in that capacity, a breaking news story. While Daly moderated the first live episode after his return from Moscow, he praised his employers' use of videotape. In such instances, cast and crew worked on two episodes consecutively during the same Sunday night: the \"taped\" one, followed immediately by the \"live\" one. The cast and crew began taking \"summer breaks\" from the show in July 1961, through July 1967. The closing credits of each prerecorded episode included an acknowledgment of the prerecorded status by the offscreen announcer.\nHosts and panelists\nThe host, then called the moderator, was veteran radio and television newsman John Charles Daly. Clifton Fadiman, Eamonn Andrews, and Random House co-founding publisher and panelist Bennett Cerf substituted on the four occasions when Daly was unavailable.\nThe show featured a panel of four celebrities who questioned the contestants. On the initial program of February 2, 1950, the panel comprised former New Jersey governor Harold Hoffman, columnist Dorothy Kilgallen, poet Louis Untermeyer, and psychiatrist Richard Hoffmann.  The panel varied somewhat in the following weeks, but after the first few broadcasts, during the show's earliest period the panel generally consisted of Kilgallen, actress Arlene Francis, Untermeyer and comedy writer Hal Block. Publisher Bennett Cerf replaced Untermeyer as a regular panelist in 1951, and comedian Steve Allen replaced Block in 1953.  Allen left in 1954 to launch The Tonight Show, and he was replaced by comedian Fred Allen (no relation), who remained on the panel until his death in 1956."]], "corpus": "wikipedia"}
 {"tstamp": 1722445941.847, "task_type": "retrieval", "type": "chat", "model": "GritLM/GritLM-7B", "gen_params": {}, "start": 1722445941.6259, "finish": 1722445941.847, "ip": "", "conv_id": "f3b21c3ce29d447f9701d499a4a05d8f", "model_name": "GritLM/GritLM-7B", "prompt": "who was the original host of what's my line", "output": [["who was the original host of what's my line", "What's My Line?\n\nMost notably, the mystery guests ran the gamut of show business' most legendary icons, including Jack Benny, John Wayne, Gary Cooper, Elizabeth Taylor, Ella Fitzgerald, Ava Gardner, Joan Crawford, James Cagney, Julie Andrews, Jack Lemmon, Jackie Gleason, Steve McQueen, Alfred Hitchcock, Doris Day, James Garner, Ronald Reagan, Jane Russell, Rosalind Russell, Fred Astaire, George Raft, Edward G. Robinson, Gene Autry, Lena Horne, Paul Newman and Joanne Woodward, Andy Griffith, Harry Belafonte, Ginger Rogers, Roy Rogers, Lucille Ball, Desi Arnaz, Bob Hope, Frank Sinatra, Dean Martin and Jerry Lewis, Sammy Davis Jr., Peter Lawford, Sean Connery, James Stewart, Henry Fonda, Salvador Dalí, Aretha Franklin, and many more.\nStyle\nWhat's My Line? is known for its attention to manners and class. In its early years, business suits and street dresses were worn by the host and panelists, but by 1953, the men normally wore black suits with bow tie (a few guests in fact wore black tie) while female panelists donned formal gown and often gloves. Exceptions to this dress code were on the broadcasts immediately following the deaths of Fred Allen and Dorothy Kilgallen, in which the male cast members wore straight neckties and the women wore simpler dresses.\nThe game followed a line of formality and adherence to rules. Although using first names at other points, Daly usually addressed using surnames when passing the questioning to a particular panelist. He would also amiably chide the panel if they began a conference without first asking him."]], "corpus": "wikipedia"}
+{"tstamp": 1722446192.9653, "task_type": "retrieval", "type": "chat", "model": "text-embedding-3-large", "gen_params": {}, "start": 1722446192.4398, "finish": 1722446192.9653, "ip": "", "conv_id": "9e2f3e5d4eb04b5db030979a91bfe01e", "model_name": "text-embedding-3-large", "prompt": "How can a small visual-linguistic model be effectively trained using knowledge distillation?", "output": [["How can a small visual-linguistic model be effectively trained using knowledge distillation?", "Title: Compressing Visual-linguistic Model via Knowledge Distillation\n\nAbstract: Despite exciting progress in pre-training for visual-linguistic (VL) representations, very few aspire to a small VL model. In this paper, we study knowledge distillation (KD) to effectively compress a transformer-based large VL model into a small VL model. The major challenge arises from the inconsistent regional visual tokens extracted from different detectors of Teacher and Student, resulting in the misalignment of hidden representations and attention distributions. To address the problem, we retrain and adapt the Teacher by using the same region proposals from Student's detector while the features are from Teacher's own object detector. With aligned network inputs, the adapted Teacher is capable of transferring the knowledge through the intermediate representations. Specifically, we use the mean square error loss to mimic the attention distribution inside the transformer block and present a token-wise noise contrastive loss to align the hidden state by contrasting with negative representations stored in a sample queue. To this end, we show that our proposed distillation significantly improves the performance of small VL models on image captioning and visual question answering tasks. It reaches 120.8 in CIDEr score on COCO captioning, an improvement of 5.1 over its non-distilled counterpart; and an accuracy of 69.8 on VQA 2.0, a 0.8 gain from the baseline. Our extensive experiments and ablations confirm the effectiveness of VL distillation in both pre-training and fine-tuning stages."]], "corpus": "arxiv"}
+{"tstamp": 1722446192.9653, "task_type": "retrieval", "type": "chat", "model": "Salesforce/SFR-Embedding-2_R", "gen_params": {}, "start": 1722446192.4398, "finish": 1722446192.9653, "ip": "", "conv_id": "99d70563aab749489c924deb1dc45544", "model_name": "Salesforce/SFR-Embedding-2_R", "prompt": "How can a small visual-linguistic model be effectively trained using knowledge distillation?", "output": [["How can a small visual-linguistic model be effectively trained using knowledge distillation?", "Title: Compressing Visual-linguistic Model via Knowledge Distillation\n\nAbstract: Despite exciting progress in pre-training for visual-linguistic (VL) representations, very few aspire to a small VL model. In this paper, we study knowledge distillation (KD) to effectively compress a transformer-based large VL model into a small VL model. The major challenge arises from the inconsistent regional visual tokens extracted from different detectors of Teacher and Student, resulting in the misalignment of hidden representations and attention distributions. To address the problem, we retrain and adapt the Teacher by using the same region proposals from Student's detector while the features are from Teacher's own object detector. With aligned network inputs, the adapted Teacher is capable of transferring the knowledge through the intermediate representations. Specifically, we use the mean square error loss to mimic the attention distribution inside the transformer block and present a token-wise noise contrastive loss to align the hidden state by contrasting with negative representations stored in a sample queue. To this end, we show that our proposed distillation significantly improves the performance of small VL models on image captioning and visual question answering tasks. It reaches 120.8 in CIDEr score on COCO captioning, an improvement of 5.1 over its non-distilled counterpart; and an accuracy of 69.8 on VQA 2.0, a 0.8 gain from the baseline. Our extensive experiments and ablations confirm the effectiveness of VL distillation in both pre-training and fine-tuning stages."]], "corpus": "arxiv"}