Papers by Ankit Yadav
Remember This Event That Year? Assessing Temporal Information and Understanding in Large Language Models (2024.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) are increasingly ubiquitous, yet their ability to effectively retain and reason about temporal information remains limited. |
| Approach: | They propose six metrics to assess three learning paradigms to enhance temporal knowledge acquisition. |
| Outcome: | The proposed methods improve performance and reduce incorrect outputs. |
PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs (2024.findings-emnlp)
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| Challenge: | *HumanEval* and *MBPP* are two popular benchmarks for Python code generation. |
| Approach: | They propose a large-scale human evaluation of two popular Python benchmarks . they propose 185 hand-crafted prompts in a balanced representation of 38 programming concepts across diverse difficulty levels. |
| Outcome: | The proposed benchmarks show a critical bias towards a limited set of programming concepts, neglecting most of the other concepts entirely. |