Soham Dan
26 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
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Conferences
ACL (5)
NAACL (5)
EMNLP (4)
ICML (3)
AISTATS (2)
COLING (2)
ICLR (2)
AAAI (1)
CVPR (1)
EACL (1)
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Keywords
large language model
(6)
program synthesis
(2)
instruction following
(2)
hypothesis testing
(2)
data augmentation
(2)
multilingual nlp
(2)
inhomogeneous random graph
(2)
language model
(2)
domain generalization
(2)
label smoothing
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adversarial learning
(2)
dataset creation
(1)
adversarial robustness
(1)
model calibration
(1)
text classification
(1)
sequence modeling
(1)
path planning
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sample complexity
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benchmark evaluation
(1)
content moderation
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Papers
Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval over haystacks
EACL 2026
CRAFT: Training-Free Cascaded Retrieval for Tabular QA
ACL 2026
MrGuard: A Multilingual Reasoning Guardrail for Universal LLM Safety
EMNLP 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
COLING 2025
Large Language Models can Become Strong Self-Detoxifiers
ICLR 2025
Multilingual Needle in a Haystack: Investigating Long-Context Behavior of Multilingual Large Language Models
NAACL 2025
Are Large Language Models Effective in Clinical Trial Design? A Study on Baseline Feature Generation
NAACL 2025
AssertionBench: A Benchmark to Evaluate Large-Language Models for Assertion Generation
NAACL 2025
Larimar: Large Language Models with Episodic Memory Control
ICML 2024
Language Guided Exploration for RL Agents in Text Environments
NAACL 2024
NeuroPrune: A Neuro-inspired Topological Sparse Training Algorithm for Large Language Models
ACL 2024
Generalized Planning in PDDL Domains with Pretrained Large Language Models
AAAI 2024
On the generalization capacity of neural networks during generic multimodal reasoning
ICLR 2024
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
ACL 2024
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
AISTATS 2023
Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics
AISTATS 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
ACL 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
ACL 2023
Understanding Robust Generalization in Learning Regular Languages
ICML 2022
Cross-Modal Map Learning for Vision and Language Navigation
CVPR 2022
Generalization in Instruction Following Systems
NAACL 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration
EMNLP 2021
Compositional Data and Task Augmentation for Instruction Following
EMNLP 2021
Few-Shot Novel Concept Learning for Semantic Parsing
EMNLP 2021
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
ICML 2020
A Locally Linear Procedure for Word Translation
COLING 2020