163 citations · 164 across the 6 of their papers we have counts for
7 papers
COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages
Kshetrimayum Boynao Singh, Nitin Kumar Mishra, Palash Pratim Dutta +22
Machine translation (MT) for Indian languages remains constrained by the limited availability of high-quality, Indic-centric parallel corpora and evaluation benchmarks. Existing mu…
Tree-of-Concerns: Hierarchical Multi-Agent Debate for Unstated-Limitation Extraction in Scientific Critique
Sahil Mishra, Niranjan Rajeev, Tanmoy Chakraborty
As scientific literature grows and papers increasingly under-report limitations, multi-agent LLMs offer a promising approach to systematically uncover these hidden failure modes. H…
Route, Communicate, and Reason: Gated Routing and Adaptive Depth for Efficient Multi-Agent Reasoning
Sudipto Ghosh, Tanmoy Chakraborty
Multi-agent ensembling multiplies active parameters and inference cost without answering three basic questions: which agents to consult, how deeply a query should traverse a hierar…
Disentangling Intrinsic Importance from Emergent Structure in Multi-Expert Orchestration
Sudipto Ghosh, Sujoy Nath, Sunny Manchanda +1
Multi-expert systems, where multiple Large Language Models (LLMs) collaborate to solve complex tasks, are increasingly adopted for high-performance reasoning and generation. Howeve…
Multilingual LLMs Struggle to Link Orthography and Semantics in Bilingual Word Processing
Eshaan Tanwar, Gayatri Oke, Tanmoy Chakraborty
Bilingual lexical processing is shaped by the complex interplay of phonological, orthographic, and semantic features of two languages within an integrated mental lexicon. In humans…
Large Language Model Predicts Above Normal All India Summer Monsoon Rainfall in 2024
Ujjawal Sharma, Madhav Biyani, Akhil Dev Suresh +3
Reliable prediction of the All India Summer Monsoon Rainfall (AISMR) is pivotal for informed policymaking for the country, impacting the lives of billions of people. However, accur…
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incre…