Jyotika Singh
Jyotika Singh has 2 papers in our library, in 2026, most of them on Machine translation, Language models & pretraining, Reasoning; often with Michelle Yuan, Miguel Ballesteros, Sandip Ghoshal.
OpenAlex · ORCID · h-index 3 · 35 works · 20 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 11 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #10407
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workLanguage models & pretraining · 1 workMachine translation · 1 work
Works by year
2020s
Papers
- Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth (2026 · 3 citations)
The survey asks why transformer models, despite strong results in language and vision, remain unreliable at exact symbolic work such as arithmetic, Boolean logic, parsing, and multi-step algorithmic composition. - MT-OSC: Path for LLMs that Get Lost in Multi-Turn Conversation (2026 · 3 citations)
LLMs perform noticeably worse when a task's instructions and context are spread across several dialogue turns.
All works
- Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and BandwidthConference of the European Chapter of the Association for Computational Linguistics (EACL)Michelle Yuan, Weiyi Sun, Amir H. Rezaeian, et al.2026 · 3 citations
- MT-OSC: Path for LLMs that Get Lost in Multi-Turn ConversationFindings of the Association for Computational LinguisticsJyotika Singh, Fang Tu, Miguel Ballesteros, et al.2026 · 3 citations
- RCI: A Score for Evaluating Global and Local Reasoning in Multimodal Benchmarks ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetAmit Agarwal et al.2025 · 3 citations
- GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations ↗arXiv (Cornell University) · no summary yetJyotika Singh et al.2026 · 1 citation
- DiffuMask: Diffusion Language Model for Token-level Prompt Pruning ↗arXiv (Cornell University) · no summary yetCaleb Zheng et al.2026 · 1 citation
- Do Image–Text Metrics Respect Semantic Invariances? ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetAmit Agarwal et al.2026
- JTPRO: A Joint Tool–Prompt Reflective Optimization Framework for Language Agents ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetSandip Ghoshal et al.2026
Co-authors here
- Michelle Yuan ×2
- Miguel Ballesteros ×2
- Sandip Ghoshal ×2
- Weiyi Sun ×2
- Yassine Benajiba ×2
- Dan Roth
- Sujith Ravi
Venues
- Findings of the Association for Computational Linguistics: ACL 2026 ×2
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
Cited by
Updated
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