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Hari Sundaram

4 papers hereh-index 264 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • cs.IR1
same name
  • Hari Sundaram — 13 papers, h 38
  • Hari Sundaram — 8 papers
  • Hari Sundaram — 5 papers, h 4
  • Hari Sundaram — 4 papers, h 2
  • Hari Sundaram — 4 papers, h 1
  • Hari Sundaram — 3 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AI2026

Facts Without Rules: Boundary Metadata Collapse in Multi-Agent LLM Handoffs

Yian Wang, Agam Goyal, Eshwar Chandrasekharan +1

Multi-agent LLM systems often coordinate by compressing an upstream interaction into a handoff artifact that downstream agents treat as shared state. We show that this handoff step…

cs.CL2026

Reasoning Consensus: Structural Ensembling of LLM Reasoning via Weighted DAG Aggregation

Amruta Parulekar, Jinu Lee, Dilek Hakkani-Tür +1

Large Language Models (LLMs) explore problems through chain-of-thought, but this exploration is buried in unstructured prose. On high-stakes tasks, users cannot tell which steps ar…

cs.IR2026

Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG

Agam Goyal, Koyel Mukherjee, Apoorv Saxena +3

Dense retrievers in retrieval-augmented generation (RAG) systems exhibit systematic biases -- including brevity, position, literal matching, and repetition biases -- that can compr…

cs.CL2026

CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification

Yian Wang, Yuen Chen, Agam Goyal +1

Large language models (LLMs) frequently generate toxic content, posing significant risks for safe deployment. Current mitigation strategies often degrade generation quality or requ…

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