Kranti Chalamalasetti

According to our database1, Kranti Chalamalasetti authored at least 15 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Multi-Turn Multi-Agent Dialogue for Collaborative Reconstruction Improves VLM Performance on Spatial Reasoning, But Only Barely.
CoRR, May, 2026

CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data.
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Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Mind the Gap: Evaluating LLM Understanding of Human-Taught Road Safety Principles.
CoRR, November, 2025

MetricalARGS: A Taxonomy for Studying Metrical Poetry with LLMs.
CoRR, October, 2025

MATA (māta): Mindful Assessment of the Telugu Abilities of Large Language Models.
CoRR, August, 2025

Test Set Quality in Multilingual LLM Evaluation.
CoRR, August, 2025

clem:todd: A Framework for the Systematic Benchmarking of LLM-Based Task-Oriented Dialogue System Realisations.
CoRR, May, 2025

clem: todd: A Framework for the Systematic Benchmarking of LLM-Based Task-Oriented Dialogue System Realisations.
Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2025

From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

2024
Towards No-Code Programming of Cobots: Experiments with Code Synthesis by Large Code Models for Conversational Programming.
CoRR, 2024

clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents.
CoRR, 2024

Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
EmpLite: A Lightweight Sequence Labeling Model for Emphasis Selection of Short Texts.
CoRR, 2021

LiteMuL: A Lightweight On-Device Sequence Tagger using Multi-task Learning.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021


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