Bohnet, Bernd
9 papers on CoChat
Most cited papers
- Verified
On Faithfulness and Factuality in Abstractive Summarization
Maynez, J., Narayan, S., Bohnet, B., & McDonald, R. (2020) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 1,185
- Verified
On Faithfulness and Factuality in Abstractive Summarization
Maynez, J., Narayan, S., Bohnet, B., & McDonald, R. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingAdvanced Text Analysis Techniques
Cited by 1,185
- Verified
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 306
- Verified
Many-Shot In-Context Learning
Agarwal, R., Singh, A., Zhang, L. M., Bohnet, B., Rosias, L., Chan, S., Zhang, B., Anand, A., Abbas, Z., Nova, A., et al. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 35
- Verified
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Bohnet, B., Tran, V. Q., Verga, P., Aharoni, R., Andor, D., Soares, L. B., Ciaramita, M., Eisenstein, J., Ganchev, K., Herzig, J., et al. (2022) · arXiv
Topic ModelingAuthorship Attribution and Profiling
Cited by 30
- Verified
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains
Jacovi, A., Bitton, Y., Bohnet, B., Herzig, J., Honovich, O., Tseng, M., Collins, M., Aharoni, R., & Geva, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 14
- Verified
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Singh, A., Co-Reyes, J. D., Agarwal, R., Anand, A., Patil, P., Garcia, X., Liu, P. J., Harrison, J., Lee, J., Xu, K., et al. (2023) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 10
- Verified
Enhancing LLM Planning Capabilities through Intrinsic Self-Critique
Bohnet, B., Kamienny, P.-A., Sedghi, H., Gorur, D., Awasthi, P., Parisi, A., Swersky, K., Liu, R., Nova, A., & Fiedel, N. (2025) · arXiv
AI-based Problem Solving and PlanningArtificial Intelligence in Games
Cited by 0
- Verified
Improving Large Language Model Planning with Action Sequence Similarity
Zhao, X., Sedghi, H., Bohnet, B., Schuurmans, D., & Nova, A. (2025) · arXiv
AI-based Problem Solving and PlanningTopic Modeling
Cited by 0
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