tag :: llm | BibSonomy

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1LLM Benchmark
Asking models: Sally (a girl) has 3 brothers. Each brother has 2 sisters. How many sisters does Sally have?
12 days ago by @tabularii
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1Fine-tune your own Llama 2 to replace GPT-3.5/4 | Hacker News
https://news.ycombinator.com/item?id=37484135
12 days ago by @bshanks
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1Examples of Prompts | Prompt Engineering Guide
This section will provide more examples of how to use prompts to achieve different tasks and introduce key concepts along the way. Often, the best way to learn concepts is by going through examples.
13 days ago by @tabularii
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1How to benchmark Llama2 Uncensored vs. GPT-3.5 on your own inputs | promptfoo
https://promptfoo.dev/docs/guides/llama2-uncensored-benchmark-ollama/
15 days ago by @bshanks
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1promptfoo/promptfoo: Test your prompts. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality.
https://github.com/promptfoo/promptfoo
15 days ago by @bshanks
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1LLM Benchmarks
https://benchmarks.llmonitor.com/
15 days ago by @bshanks
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1Asking 60 LLMs a set of 20 questions | Hacker News
https://news.ycombinator.com/item?id=37445401
15 days ago by @bshanks
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1ACL 2023 Tutorial: Retrieval-based LMs and Applications
Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
18 days ago by @jaeschke
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1fast.ai - Can LLMs learn from a single example?
https://www.fast.ai/posts/2023-09-04-learning-jumps/
18 days ago by @bshanks
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1[2308.15022] Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
https://arxiv.org/abs/2308.15022
20 days ago by @bshanks
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2Teaching with AI
https://openai.com/blog/teaching-with-ai
21 days ago by @bshanks
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12308.04445.pdf Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
21 days ago by @bshanks
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1Language Is a Poor Heuristic for Intelligence
With the emergence of LLM “AI”, everyone will have to learn something many disabled people have always understood
26 days ago by @tabularii
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1[2308.09687] Graph of Thoughts: Solving Elaborate Problems with Large Language Models
https://arxiv.org/abs/2308.09687
a month ago by @bshanks
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1Llama from scratch, or how to implement a paper without crying | Hacker News
https://news.ycombinator.com/item?id=37059479
2 months ago by @bshanks
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1Llama from scratch (or how to implement a paper without crying) | Brian Kitano
https://blog.briankitano.com/llama-from-scratch/
2 months ago by @bshanks
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1What happened in this GPT-3 conversation? | Hacker News
https://news.ycombinator.com/item?id=37054241
2 months ago by @bshanks
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1Imgur: The magic of the Internet
https://imgur.com/a/60eSydk
2 months ago by @bshanks
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1Show HN: Khoj – Chat offline with your second brain using Llama 2 | Hacker News
https://news.ycombinator.com/item?id=36933452
2 months ago by @bshanks
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1khoj-ai/khoj: An AI personal assistant for your digital brain
https://github.com/khoj-ai/khoj
2 months ago by @bshanks
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1Exploring Large Language Models for Ontology Alignment
Y. He, J. Chen, H. Dong, and I. Horrocks. (2023)cite arxiv:2309.07172Comment: Accepted at ISWC 2023 (Posters and Demos).
3 days ago by @hangdong
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1Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
R. Karimi Mahabadi, J. Henderson, and S. Ruder. Advances in Neural Information Processing Systems , 34, page 1022--1035. Curran Associates, Inc., (2021)
6 days ago by @jannaom
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1LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models
Z. Tang, C. Wu, J. Li, and N. Duan. (2023)cite arxiv:2309.09506.
6 days ago by @lisa-ee
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1Less is More for Long Document Summary Evaluation by LLMs
Y. Wu, H. Iso, P. Pezeshkpour, N. Bhutani, and E. Hruschka. (2023)cite arxiv:2309.07382Comment: Work in progress.
6 days ago by @lisa-ee
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1Textbooks Are All You Need II: phi-1.5 technical report
Y. Li, S. Bubeck, R. Eldan, A. Del Giorno, S. Gunasekar, and Y. Lee. (2023)cite arxiv:2309.05463.
13 days ago by @vincentqb
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1Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A. Srivastava, A. Rastogi, A. Rao, A. Shoeb, A. Abid, A. Fisch, A. Brown, A. Santoro, A. Gupta, A. Garriga-Alonso, A. Kluska, A. Lewkowycz, A. Agarwal, A. Power, A. Ray, A. Warstadt, A. Kocurek, A. Safaya, A. Tazarv, A. Xiang, A. Parrish, A. Nie, A. Hussain, A. Askell, A. Dsouza, A. Slone, A. Rahane, A. Iyer, A. Andreassen, A. Madotto, A. Santilli, A. Stuhlmüller, A. Dai, A. La, A. Lampinen, A. Zou, A. Jiang, A. Chen, A. Vuong, A. Gupta, A. Gottardi, A. Norelli, A. Venkatesh, A. Gholamidavoodi, A. Tabassum, A. Menezes, A. Kirubarajan, A. Mullokandov, A. Sabharwal, A. Herrick, A. Efrat, A. Erdem, A. Karakaş, B. Roberts, B. Loe, B. Zoph, B. Bojanowski, B. Özyurt, B. Hedayatnia, B. Neyshabur, B. Inden, B. Stein, B. Ekmekci, B. Lin, B. Howald, B. Orinion, C. Diao, C. Dour, C. Stinson, C. Argueta, C. Ramírez, C. Singh, C. Rathkopf, C. Meng, C. Baral, C. Wu, C. Callison-Burch, C. Waites, C. Voigt, C. Manning, C. Potts, C. Ramirez, C. Rivera, C. Siro, C. Raffel, C. Ashcraft, C. Garbacea, D. Sileo, D. Garrette, D. Hendrycks, D. Kilman, D. Roth, D. Freeman, D. Khashabi, D. Levy, D. González, D. Perszyk, D. Hernandez, D. Chen, D. Ippolito, D. Gilboa, D. Dohan, D. Drakard, D. Jurgens, D. Datta, D. Ganguli, D. Emelin, D. Kleyko, D. Yuret, D. Chen, D. Tam, D. Hupkes, D. Misra, D. Buzan, D. Mollo, D. Yang, D. Lee, D. Schrader, E. Shutova, E. Cubuk, E. Segal, E. Hagerman, E. Barnes, E. Donoway, E. Pavlick, E. Rodola, E. Lam, E. Chu, E. Tang, E. Erdem, E. Chang, E. Chi, E. Dyer, E. Jerzak, E. Kim, E. Manyasi, E. Zheltonozhskii, F. Xia, F. Siar, F. Martínez-Plumed, F. Happé, F. Chollet, F. Rong, G. Mishra, G. Winata, G. de Melo, G. Kruszewski, G. Parascandolo, G. Mariani, G. Wang, G. Jaimovitch-López, G. Betz, G. Gur-Ari, H. Galijasevic, H. Kim, H. Rashkin, H. Hajishirzi, H. Mehta, H. Bogar, H. Shevlin, H. Schütze, H. Yakura, H. Zhang, H. Wong, I. Ng, I. Noble, J. Jumelet, J. Geissinger, J. Kernion, J. Hilton, J. Lee, J. Fisac, J. Simon, J. Koppel, J. Zheng, J. Zou, J. Kocoń, J. Thompson, J. Wingfield, J. Kaplan, J. Radom, J. Sohl-Dickstein, J. Phang, J. Wei, J. Yosinski, J. Novikova, J. Bosscher, J. Marsh, J. Kim, J. Taal, J. Engel, J. Alabi, J. Xu, J. Song, J. Tang, J. Waweru, J. Burden, J. Miller, J. Balis, J. Batchelder, J. Berant, J. Frohberg, J. Rozen, J. Hernandez-Orallo, J. Boudeman, J. Guerr, J. Jones, J. Tenenbaum, J. Rule, J. Chua, K. Kanclerz, K. Livescu, K. Krauth, K. Gopalakrishnan, K. Ignatyeva, K. Markert, K. Dhole, K. Gimpel, K. Omondi, K. Mathewson, K. Chiafullo, K. Shkaruta, K. Shridhar, K. McDonell, K. Richardson, L. Reynolds, L. Gao, L. Zhang, L. Dugan, L. Qin, L. Contreras-Ochando, L. Morency, L. Moschella, L. Lam, L. Noble, L. Schmidt, L. He, L. Colón, L. Metz, L. Şenel, M. Bosma, M. Sap, M. ter Hoeve, M. Farooqi, M. Faruqui, M. Mazeika, M. Baturan, M. Marelli, M. Maru, M. Quintana, M. Tolkiehn, M. Giulianelli, M. Lewis, M. Potthast, M. Leavitt, M. Hagen, M. Schubert, M. Baitemirova, M. Arnaud, M. McElrath, M. Yee, M. Cohen, M. Gu, M. Ivanitskiy, M. Starritt, M. Strube, M. Swędrowski, M. Bevilacqua, M. Yasunaga, M. Kale, M. Cain, M. Xu, M. Suzgun, M. Walker, M. Tiwari, M. Bansal, M. Aminnaseri, M. Geva, M. Gheini, M. T, N. Peng, N. Chi, N. Lee, N. Krakover, N. Cameron, N. Roberts, N. Doiron, N. Martinez, N. Nangia, N. Deckers, N. Muennighoff, N. Keskar, N. Iyer, N. Constant, N. Fiedel, N. Wen, O. Zhang, O. Agha, O. Elbaghdadi, O. Levy, O. Evans, P. Casares, P. Doshi, P. Fung, P. Liang, P. Vicol, P. Alipoormolabashi, P. Liao, P. Liang, P. Chang, P. Eckersley, P. Htut, P. Hwang, P. Miłkowski, P. Patil, P. Pezeshkpour, P. Oli, Q. Mei, Q. Lyu, Q. Chen, R. Banjade, R. Rudolph, R. Gabriel, R. Habacker, R. Risco, R. Millière, R. Garg, R. Barnes, R. Saurous, R. Arakawa, R. Raymaekers, R. Frank, R. Sikand, R. Novak, R. Sitelew, R. LeBras, R. Liu, R. Jacobs, R. Zhang, R. Salakhutdinov, R. Chi, R. Lee, R. Stovall, R. Teehan, R. Yang, S. Singh, S. Mohammad, S. Anand, S. Dillavou, S. Shleifer, S. Wiseman, S. Gruetter, S. Bowman, S. Schoenholz, S. Han, S. Kwatra, S. Rous, S. Ghazarian, S. Ghosh, S. Casey, S. Bischoff, S. Gehrmann, S. Schuster, S. Sadeghi, S. Hamdan, S. Zhou, S. Srivastava, S. Shi, S. Singh, S. Asaadi, S. Gu, S. Pachchigar, S. Toshniwal, S. Upadhyay, Shyamolima, Debnath, S. Shakeri, S. Thormeyer, S. Melzi, S. Reddy, S. Makini, S. Lee, S. Torene, S. Hatwar, S. Dehaene, S. Divic, S. Ermon, S. Biderman, S. Lin, S. Prasad, S. Piantadosi, S. Shieber, S. Misherghi, S. Kiritchenko, S. Mishra, T. Linzen, T. Schuster, T. Li, T. Yu, T. Ali, T. Hashimoto, T. Wu, T. Desbordes, T. Rothschild, T. Phan, T. Wang, T. Nkinyili, T. Schick, T. Kornev, T. Tunduny, T. Gerstenberg, T. Chang, T. Neeraj, T. Khot, T. Shultz, U. Shaham, V. Misra, V. Demberg, V. Nyamai, V. Raunak, V. Ramasesh, V. Prabhu, V. Padmakumar, V. Srikumar, W. Fedus, W. Saunders, W. Zhang, W. Vossen, X. Ren, X. Tong, X. Zhao, X. Wu, X. Shen, Y. Yaghoobzadeh, Y. Lakretz, Y. Song, Y. Bahri, Y. Choi, Y. Yang, Y. Hao, Y. Chen, Y. Belinkov, Y. Hou, Y. Hou, Y. Bai, Z. Seid, Z. Zhao, Z. Wang, Z. Wang, Z. Wang, and Z. Wu. (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.
21 days ago by @tabularii
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google
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1Emergent Analogical Reasoning in Large Language Models
T. Webb, K. Holyoak, and H. Lu. (2022)cite arxiv:2212.09196Comment: Published at Nature Human Behaviour (2023) https://doi.org/10.1038/s41562-023-01659-w.
26 days ago by @tabularii
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1Can Transformers Learn to Solve Problems Recursively?
S. Zhang, C. Tigges, S. Biderman, M. Raginsky, and T. Ringer. (2023)cite arxiv:2305.14699.
26 days ago by @tabularii
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recursion
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5Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W. Yih, T. Rocktäschel, S. Riedel, and D. Kiela. (2020)cite arxiv:2005.11401Comment: Accepted at NeurIPS 2020.
a month ago by @joshuaeckroth
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rag
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1Scaling Transformer to 1M tokens and beyond with RMT
A. Bulatov, Y. Kuratov, and M. Burtsev. (2023)cite arxiv:2304.11062.
a month ago by @joshuaeckroth
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3LoRA: Low-Rank Adaptation of Large Language Models
E. Hu, Y. Shen, P. Wallis, Z. Allen-Zhu, Y. Li, S. Wang, L. Wang, and W. Chen. (2021)cite arxiv:2106.09685Comment: Draft V2 includes better baselines, experiments on GLUE, and more on adapter latency.
a month ago by @joshuaeckroth
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lora
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1Long-range Language Modeling with Self-retrieval
O. Rubin, and J. Berant. (2023)cite arxiv:2306.13421.
a month ago by @lisa-ee
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retrieval
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1Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
W. Yu, C. Zhu, Z. Zhang, S. Wang, Z. Zhang, Y. Fang, and M. Jiang. (2022)cite arxiv:2210.12887Comment: EMNLP 2022 (main).
a month ago by @lisa-ee
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1Retrieval-Enhanced Contrastive Vision-Text Models
A. Iscen, M. Caron, A. Fathi, and C. Schmid. (2023)cite arxiv:2306.07196.
a month ago by @lisa-ee
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1In-Context Retrieval-Augmented Language Models
O. Ram, Y. Levine, I. Dalmedigos, D. Muhlgay, A. Shashua, K. Leyton-Brown, and Y. Shoham. (2023)cite arxiv:2302.00083Comment: Accepted for publication in Transactions of the Association for Computational Linguistics (TACL). pre-MIT Press publication version.
a month ago by @lisa-ee
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1Recommender Systems with Generative Retrieval
S. Rajput, N. Mehta, A. Singh, R. Keshavan, T. Vu, L. Heldt, L. Hong, Y. Tay, V. Tran, J. Samost, M. Kula, E. Chi, and M. Sathiamoorthy. (2023)cite arxiv:2305.05065.
a month ago by @lisa-ee
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1Active Retrieval Augmented Generation
Z. Jiang, F. Xu, L. Gao, Z. Sun, Q. Liu, J. Dwivedi-Yu, Y. Yang, J. Callan, and G. Neubig. (2023)cite arxiv:2305.06983.
a month ago by @lisa-ee
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1Improving language models by retrieving from trillions of tokens
S. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. Driessche, J. Lespiau, B. Damoc, A. Clark, D. Casas, A. Guy, J. Menick, R. Ring, T. Hennigan, S. Huang, L. Maggiore, C. Jones, A. Cassirer, A. Brock, M. Paganini, G. Irving, O. Vinyals, S. Osindero, K. Simonyan, J. Rae, E. Elsen, and L. Sifre. (2021)cite arxiv:2112.04426Comment: Fix incorrect reported numbers in Table 14.
a month ago by @lisa-ee
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1Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
Z. Jiang, L. Gao, J. Araki, H. Ding, Z. Wang, J. Callan, and G. Neubig. (2022)cite arxiv:2212.02027Comment: EMNLP 2022.
a month ago by @lisa-ee
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1Rethinking with Retrieval: Faithful Large Language Model Inference
H. He, H. Zhang, and D. Roth. (2022)cite arxiv:2301.00303.
a month ago by @lisa-ee
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