Papers with Llama-3-8b
GeoIndia: A Seq2Seq Geocoding Approach for Indian Addresses (2024.emnlp-industry)
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| Challenge: | a new geocoding system for Indian addresses addresses is needed for logistics, urban planning and location-based services. |
| Approach: | They propose a geocoding system for Indian addresses using hierarchical H3-cell prediction using a Seq2Seq framework. |
| Outcome: | The proposed system outperforms existing geocoding platforms in accuracy and reliability across multiple Indian states. |
Generalists vs. Specialists: Evaluating Large Language Models for Urdu (2024.findings-emnlp)
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| Challenge: | Urdu is underrepresented in natural language processing, yet it is underserved. |
| Approach: | They compare general-purpose models with special-purpose ones that have been fine-tuned on specific tasks. |
| Outcome: | The proposed models outperform general-purpose models on seven classification and seven generation tasks. |
THREAD: Thinking Deeper with Recursive Spawning (2025.naacl-long)
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| Challenge: | Large language models (LLMs) have shown impressive capabilities across diverse settings, but their performance degrades as context length and complexity increases. |
| Approach: | They propose to frame model generation as a thread of execution that, based on the context, can run to completion or dynamically spawn new threads. |
| Outcome: | The proposed model outperforms existing frameworks by 10% to 50% on diverse benchmarks. |